CN112155554B

CN112155554B - Method, device and equipment for determining individual development age based on cranium surface morphological development characteristics of children and teenagers

Info

Publication number: CN112155554B
Application number: CN202011052500.1A
Authority: CN
Inventors: 徐刚; 赵有祥; 孙铁
Original assignee: Beijing Haoze Management Consultation Co ltd
Current assignee: Beijing Haoze Management Consultation Co ltd
Priority date: 2020-09-29
Filing date: 2020-09-29
Publication date: 2021-05-18
Anticipated expiration: 2040-09-29
Also published as: CN112155554A

Abstract

The invention discloses a method, a device and equipment for determining an individual development age based on cranium surface morphological development characteristics of children and teenagers, wherein cranium surface morphological development characteristic images of a user are input into a cranium characteristic information determination model to obtain cranium characteristic information; and inputting the cranial feature information into a development age determination model to obtain a development age matched with the cranial surface morphological development feature image. The method and the device for determining the development age of the user enable the development age of the user to be determined more simply and quickly, and efficiency of determining the development age of the user is improved. The development age determined by the invention can objectively evaluate the development degree of the children and teenagers, provides services for improving the physical health level of the children and teenagers, identifying athlete participating age groups, selecting sports materials, identifying the relevant age of the children and teenagers and the like, and avoids the damage to users caused by using equipment such as an X-ray machine and the like, so that the process for determining the development age is safer and more reliable, and has higher practicability, safety and usability.

Description

Method, device and equipment for determining individual development age based on cranium surface morphological development characteristics of children and teenagers

Technical Field

The invention relates to the technical field of determining the development age of an individual, in particular to a method, a device and equipment for determining the development age of the individual based on the cranium surface morphological development characteristics of children and teenagers.

Background

The development age is different from the calendar age which is calculated according to the calendar after birth and shows the time law. The development age is an objective index which mainly reflects the growth and development rules of the human body and is determined according to the actual development degree of the human body. People with the same calendar age are not necessarily the same in development age. For example: users a and b may both have a calendar age of 18 years, but user a may have a development age of 16.5 years and user b may have a development age of 20 years.

Currently, related technicians mainly take local skeleton images of a human body through medical imaging equipment such as an X-ray machine, and therefore the development age of the human body is determined according to the development degree of the skeleton shown in the skeleton images.

Disclosure of Invention

In view of the above problems, the present invention provides a method, device and apparatus for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile, which overcomes or at least partially solves the above problems, and the technical solution is as follows:

a method for determining the developmental age of an individual based on morphological developmental features of the cranial surface of a juvenile comprising:

acquiring a cranium surface morphological development characteristic image of a user;

inputting the cranium surface morphological development characteristic image into a preset cranium characteristic information determination model to obtain at least one cranium characteristic information output by the cranium characteristic information determination model;

and inputting the information of the at least one cranial feature into a preset development age determination model, and obtaining the development age which is output by the development age determination model and matched with the morphological development feature image of the cranial surface.

Optionally, the inputting the at least one cranial feature information into a preset developmental age determination model to obtain a developmental age output by the developmental age determination model and matched with the cranial surface morphological developmental feature image includes:

inputting the at least one cranial feature information into a preset development age determination model, so that the development age determination model determines and outputs a development age matched with the cranial surface morphological development feature image according to the at least one cranial feature information and/or the proportional relation among different cranial feature information.

Optionally, the inputting the cranium surface morphological development feature image into a preset cranium feature information determination model to obtain at least one cranium feature information output by the cranium feature information determination model includes:

inputting the cranium surface morphological development characteristic image into a preset cranium characteristic information determination model so that the cranium characteristic information determination model determines at least two preset cranium key points in the cranium surface morphological development characteristic image, and determining and outputting at least one cranium characteristic information according to the at least two preset cranium key points.

Optionally, the preset skull key points include an glabellar point, a hair flange point, a pupil point, a nasal wing point, a infraorbital point, an infranasal point, an oral angle point, a submental point, a nasal bridge point, an intraocular angle point and an extraocular angle point.

Optionally, the cranial feature information includes a longitudinal axis length and/or a transverse axis width between two preset cranial key points, and/or graphic information formed by connecting more than three preset cranial key points, where the graphic information includes a graphic area and an angle inside a graphic.

Optionally, the inputting the at least one cranial feature information into a preset developmental age determination model, so that the developmental age determination model determines and outputs a developmental age matched with the cranial surface morphological developmental feature image according to the at least one cranial feature information and/or a proportional relationship between different cranial feature information, includes:

inputting the length of a longitudinal axis and the width of a transverse axis between at least two preset cranium key points into a preset development age determining model, so that the development age determining model determines and outputs the development age matched with the cranium surface morphological development characteristic image according to the proportional relation between the length of the longitudinal axis and the width of the transverse axis.

inputting the length of a longitudinal axis, the width of a transverse axis and at least one piece of graphic information between at least two preset cranium key points into a preset development age determination model, so that the development age determination model determines and outputs the development age matched with the cranium surface morphological development feature image according to the proportional relation among the length of the longitudinal axis, the width of the transverse axis and the graphic area in the graphic information, wherein the graphic information is formed by connecting more than any three preset cranium key points.

inputting the length of a longitudinal axis and the width of a transverse axis between at least two preset cranium key points and at least one piece of graphic information into a preset development age determination model so that the development age determination model determines and outputs the development age matched with the cranium surface morphological development feature image according to the length of the longitudinal axis, the width of the transverse axis and the proportional relation between the graphic area in the graphic information and the angle inside the graphic, wherein the graphic information is formed by connecting more than any three preset cranium key points.

An apparatus for determining an age of development of an individual based on morphological developmental characteristics of a cranial surface of a juvenile of the child, comprising: a cranium surface morphological development characteristic image obtaining unit, a cranium characteristic information obtaining unit and a development age obtaining unit,

the cranial surface morphological development feature image obtaining unit is used for obtaining a cranial surface morphological development feature image of the user;

the cranial feature information obtaining unit is used for inputting the cranial surface morphological development feature image into a preset cranial feature information determination model and obtaining at least one cranial feature information output by the cranial feature information determination model;

the development age obtaining unit is used for inputting the at least one cranium feature information into a preset development age determining model and obtaining the development age which is output by the development age determining model and matched with the cranium surface morphological development feature image.

The equipment for determining the development age of an individual based on the cranium surface morphological development characteristics of the young children comprises a cranium surface morphological development characteristic image receiving device, a processor, a memory, a communication bus and an output device, wherein the memory is stored with a program which can be operated on the processor,

the processor is respectively in communication connection with the skull surface morphological development characteristic image receiving device, the memory and the output device through the communication bus;

the skull surface morphological development characteristic image receiving device receives a skull surface morphological development characteristic image of a user;

the processor executes the program to realize the method for determining the development age of the individual based on the morphological development characteristics of the cranium surface of the juvenile;

and the output equipment obtains and outputs the development age matched with the morphological development characteristic image of the skull surface output by the development age determination model.

By means of the technical scheme, the method, the device and the equipment for determining the development age of the individual based on the cranium surface morphological development characteristics of the children and the teenagers can obtain the cranium surface morphological development characteristic image of the user; inputting the cranium surface morphological development characteristic image into a preset cranium characteristic information determination model to obtain at least one cranium characteristic information output by the cranium characteristic information determination model; and inputting the information of the at least one cranial feature into a preset development age determination model, and obtaining the development age which is output by the development age determination model and matched with the morphological development feature image of the cranial surface. According to the embodiment of the invention, the development age matched with the cranial surface morphological development characteristic image can be determined through the cranial characteristic information in the cranial surface morphological development characteristic image of the user, so that the development age of the user can be determined more simply and quickly, and the efficiency of determining the development age of the user is improved.

The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a schematic flow chart illustrating a method for determining an age of development of an individual based on morphological developmental characteristics of a cranial surface of a juvenile, according to an embodiment of the present invention;

FIG. 2 is a schematic diagram illustrating a morphological developmental feature image of a cranial surface provided by an embodiment of the invention;

FIG. 3 is a schematic flow chart of another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile, according to an embodiment of the present invention;

FIG. 4 is a schematic diagram illustrating the presetting of cranial keypoints according to an embodiment of the present invention;

FIG. 5 is a schematic diagram illustrating the length of the longitudinal axis and the width of the transverse axis between key points of a predetermined skull portion according to an embodiment of the present invention;

FIG. 6 is a schematic diagram illustrating graphical information formed by connecting more than three preset cranial key points according to an embodiment of the present invention;

FIG. 7 is a schematic diagram illustrating a training process of a developmental age determination model according to an embodiment of the present invention;

FIG. 8 is a schematic flow chart of another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile, according to an embodiment of the present invention;

FIG. 9 is a schematic flow chart of another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile, according to an embodiment of the present invention;

FIG. 10 is a schematic flow chart of another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile, according to an embodiment of the present invention;

FIG. 11 is a schematic flow chart of another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile, according to an embodiment of the present invention;

FIG. 12 is a schematic flow chart of another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile, according to an embodiment of the present invention;

fig. 13 is a schematic structural diagram illustrating an apparatus for determining an individual development age based on a morphological development characteristic of a cranial surface of a child or an adolescent according to an embodiment of the present invention;

fig. 14 is a schematic connection diagram illustrating a processor, a memory and a communication bus of an apparatus for determining an age of an individual based on morphological developmental characteristics of a cranial surface of a juvenile, according to an embodiment of the present invention;

FIG. 15 is a schematic diagram illustrating the components of an apparatus for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile, according to an embodiment of the present invention;

fig. 16 is a schematic component composition diagram of another device for determining the developmental age of an individual based on the morphological developmental characteristics of the cranium surface of a juvenile.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

As shown in fig. 1, a method for determining an age of an individual based on morphological developmental characteristics of a cranial surface of a juvenile may include:

and S100, obtaining a cranium surface morphological development characteristic image of the user.

Wherein, the skull surface morphological development characteristic image is a surface morphological image of the skull in the human body growth and development process. Alternatively, the cranium defined for the human body according to international anatomical terms includes a cranium and a cranium, wherein the facial morphology of the cranium and the cranium is characterized in that the upper posterior part divided by a line connecting the upper edge of the orbit and the upper edge of the external auditory meatus is the cranium, and the lower anterior part is the cranium. Wherein the surface morphology features include the length, width, size of the area of the different regions, size of the depressions and projections, etc. in proportional relationship.

Alternatively, the facial morphological features of the skull may include features of the five sense organs, chin, forehead and cheeks. The surface morphology features of the cranium may include features such as a contour of the cranium.

Morphology, also known as human morphology, refers to the external shape and characteristics of the body that are expressed at different stages during growth and development due to the combined action of both innate inheritance and acquired environment factors. Body morphology is generally represented by length, width, girth, weight, area, and their interrelationship. The overall development law is that the development of the disease is irreversible from immature to gradually mature and aging (degeneration).

Optionally, the morphological development characteristic image of the skull surface can be a two-dimensional plane image or a three-dimensional model image. It should be noted that the image of morphological developmental features of the cranial surface is not an image of the bone of the head. Alternatively, the morphological developmental feature image of the cranial surface may be as shown in fig. 2.

Optionally, in the embodiment of the present invention, the image acquisition device (such as a mobile phone or a digital camera) may acquire and obtain the cranium surface morphological development feature image of the user, or extract and obtain the cranium surface morphological development feature image of the user from a storage medium storing the cranium surface morphological development feature image of the user.

Optionally, the skull surface morphological development feature image of the user may be an image obtained by performing preset image standardization preprocessing on an original skull image of the user.

Optionally, the preset image standardization processing may be to correct the original cranial image of the user according to a preset human face standardization correction algorithm to obtain a corrected cranial surface morphological development characteristic image. Optionally, the skull surface morphological development feature image of the user may be an image that meets a preset posture standard and/or a preset image quality standard. Optionally, the face normalization correction algorithm may include a face image geometry correction algorithm and/or a face image quality correction algorithm. Optionally, in the embodiment of the present invention, the original cranial image of the user may be subjected to 3D matching and/or 3D rotation by using a face image geometric correction algorithm, so as to perform posture standard correction on the original cranial image of the user, so that the obtained cranial surface morphological development feature image meets a preset posture standard. Optionally, in the embodiment of the present invention, the original cranial image of the user may be subjected to noise point removal, illumination influence removal, contrast adjustment, sharpness adjustment, and other processing by using a human face image quality correction algorithm, so as to perform standardized correction on the image quality of the original cranial image of the user, so that the obtained cranial surface morphological development feature image meets a preset image quality standard.

Optionally, the preset image normalization processing may also be performed by determining correction auxiliary points on an original cranial image of the user, and performing posture standard correction on the original cranial image according to the correction auxiliary points to obtain a corrected cranial surface morphological development feature image, so that the obtained cranial surface morphological development feature image meets a preset posture standard. Optionally, the preset posture standard may be that the pupil positions on the morphological development feature image of the skull surface are located at the same horizontal coordinate. Alternatively, the correction auxiliary points may be two mouth point points and two pupil points. Specifically, the preset image normalization processing may specifically be to determine two pupil points and two pupil points in the original skull image, determine a first midpoint of a connecting line between the two pupil points and a second midpoint of a connecting line between the two pupil points, then determine a third midpoint of a connecting line between the first midpoint and the second midpoint, and rotate the original skull image with the third midpoint as a fixed point until the two pupil points are located at the same horizontal coordinate.

Optionally, the preset image normalization processing may further include image processing such as performing equal-scale magnification, reduction, translation, rotation, cropping, and matting on the original skull image of the user. The embodiment of the invention can also set the resolution of the cranial surface morphological development characteristic image in the preset image standardization process, so that the cranial surface morphological development characteristic image obtained by the embodiment of the invention has fixed resolution. It is to be understood that the specific preset image normalization processing procedure can be set by a relevant technician according to actual needs, and the embodiment of the present invention is not further limited herein.

S200, inputting the cranium surface morphological development characteristic image into a preset cranium characteristic information determination model, and obtaining at least one cranium characteristic information output by the cranium characteristic information determination model.

Wherein, the cranial feature information determination model can be a convolutional neural network model. The embodiment of the invention can train the cranial feature information determination model in advance, so that the cranial feature information determination model can determine cranial feature information of a cranial surface morphological development feature image. Optionally, the cranial feature information may be feature data reflecting a growth rule of a human body in the morphological development feature image of the cranial surface.

Alternatively, based on the method shown in fig. 1, as shown in fig. 3, another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile of the child according to the embodiment of the present invention may include:

s210, inputting the cranium surface morphological development characteristic image into a preset cranium characteristic information determination model so that the cranium characteristic information determination model determines at least two preset cranium key points in the cranium surface morphological development characteristic image, and determining and outputting at least one cranium characteristic information according to the at least two preset cranium key points.

Specifically, in the embodiment of the present invention, the cranial feature information determination model may be subjected to machine learning by using the cranial training image with the preset cranial key points marked in advance, so that the cranial feature information determination model may determine the positions of the preset cranial key points in the cranial surface morphological development feature image, and calculate and obtain the cranial feature information according to the preset cranial key points corresponding to each preset item of data capable of reflecting the growth and development rules of the human body, thereby outputting the cranial feature information capable of reflecting the growth and development rules of the human body. According to the embodiment of the invention, the skull feature information reflecting the growth and development rule of the human body in the skull surface morphological development feature image can be accurately determined through the preset skull feature information determination model.

The applicant of the present invention finds out: under normal conditions, because the skull belongs to a part of a human body, based on the craniocaudal law and the centripetal law followed by the growth and development of the human body, the skull of the human body has skull characteristic information capable of reflecting the growth and development law of the human body in the growth and development process of the human body. For example: in the growth and development process of a human body, longitudinal growth and transverse growth of craniums at different development ages are in unequal proportion, and specifically, the growth amplitude of cranium feature information related to longitudinal growth of the cranium is different from that of cranium feature information related to transverse growth of the cranium, so that the proportion between the cranium feature information related to longitudinal growth of the cranium and the cranium feature information related to transverse growth of the cranium is different in change rule. Therefore, the embodiment of the present invention can determine the development age of the human body based on the above research findings through the cranial feature information on the cranial surface morphological development feature image.

In order to accurately obtain the cranial feature information, the embodiment of the invention can preset cranial key points related to the growth and development rule of the human body. Optionally, the preset skull key points may include an glabellar point, a hair flange point, a pupil point, a nasal wing point, a infraorbital point, an infranasal point, an oral angle point, a submental point, a nasal bridge point, an intraocular angle point, and an extraocular angle point.

To facilitate intuitive understanding of the pre-determined cranial key points, the following is described with reference to fig. 4: the glabellar point is the point at the lower part of the forehead, above the nasion, where the bulge between the two eyebrows is most prominent forward on the median sagittal plane. The limbal point may be the intersection of the forehead limbus with the midsagittal plane. The pupil point may be a pupil center point. The alar point may be an alar outermost point. The infraorbital point may be the lowest point of the infraorbital margin. The infranasal point may be the deepest point of the angle formed by the septum in the nose and the skin of the upper lip, in the midsagittal plane. The corner of the mouth may be the point at which the upper and lower lip mucosal edges meet at the outboard end of the cleft. The submental point may be the lowest point of the chin in the positive midsagittal plane when the head is positioned in the eye-ear plane. The nose bridge point may be the most concave part of the upper end of the nose, i.e. the turning part of the back of the nose and the forehead, when the head is in the plane of the eyes and ears. The angular point in the eye may be the point on the internal angle of the cleft where the upper and lower eyelid margins meet. The external corner point may be the point at which the upper and lower eyelid margins meet at the external corner of the fissure.

It is noted that, in a typical case, there are two pupil points, nasal ala points, infraorbital points, angular points of the mouth, angular points of the eyes, and angular points of the eyes outside. For example: the pupillary points may include a left pupillary point and a right pupillary point.

It is understood that, in the embodiments of the present invention, a part of the glabellar point, the limbus point, the pupil point, the nasal wing point, the infraorbital point, the subnasal point, the oral angle point, the submental point, the nasal bridge point, the intra-ocular angle point, and the extraocular angle point may be selected as the preset cranial key point.

Optionally, the cranial feature information may include a longitudinal axis length and/or a transverse axis width between two preset cranial key points, and/or graphic information formed by connecting more than three preset cranial key points, where the graphic information includes a graphic area and an angle inside a graphic.

Wherein the longitudinal axis is parallel to the median sagittal facial line of the human body, and the transverse axis is perpendicular to the median sagittal facial line of the human body. The embodiment of the invention can obtain the length of the longitudinal axis and/or the width of the transverse axis between any two preset cranial key points. Alternatively, the longitudinal axis length may be the distance between two predetermined cranial keypoints in the longitudinal axis direction, and the transverse axis width may be the distance between two predetermined cranial keypoints in the transverse axis direction. For example: as shown in fig. 5, the length of the vertical axis between the inter-brow point and the infranasal point is 196 pixels, the width of the horizontal axis between the inter-brow point and the infranasal point is 0 pixel, the length of the vertical axis between the inter-brow point and the left oral corner point is 308 pixels, and the width of the horizontal axis between the inter-brow point and the left oral corner point is 154 pixels. It is understood that fig. 5 is only a schematic diagram, and that in addition to the points of the glabellar, infranasal and oral corners, embodiments of the present invention may also achieve other longitudinal axis lengths and/or transverse axis widths between two predetermined cranial key points.

The embodiment of the invention can preset more than three preset cranium key points for connecting and forming the graphic information. And determining the graph area and the graph internal angle in the graph information through the graph information formed by connecting the more than three preset cranial key points. For example: as shown in fig. 6, the embodiment of the present invention may form a triangle by connecting the glabellar point and the two corner points, the area of the triangle is the area of the shaded portion, and the sum of the three angles inside the triangle is 180 degrees. It can be understood that fig. 6 is a schematic diagram, and besides that the connection between the glabellar point and the two corner points forms a triangle, the embodiment of the present invention may also determine the area of the graph and the internal angle of the graph in the graph information by using the graph information formed by connecting more than three preset cranial key points. For example: the embodiment of the invention can obtain the parallelogram formed by connecting the two pupil points and the two nasal wing points, and determine the angles of the four corners inside the parallelogram and the area of the parallelogram.

Optionally, the cranial feature information may further include head circumference information.

According to the embodiment of the invention, the cranial feature information reflecting the growth and development rule of the human body can be accurately determined through the preset cranial key points associated with the growth and development rule of the human body, so that the result of subsequently determining the development age is more accurate.

S300, inputting the information of the at least one cranial feature into a preset development age determination model, and obtaining the development age which is output by the development age determination model and matched with the morphological development feature image of the cranial surface.

Wherein, the preset development age determination model may be a convolutional neural network model. Optionally, as shown in fig. 7, the training process of a developmental age determination model provided in an embodiment of the present invention may include:

s10, obtaining at least one cranial feature information corresponding to the cranial training image, wherein the at least one cranial feature information is marked with a development age matched with the cranial training image.

Specifically, in the embodiment of the present invention, at least one image of a skull of a human body may be collected in advance as a skull training image, and a development age corresponding to the human body is labeled in the skull training image, so that the obtained skull feature information corresponding to the skull training image is also labeled with the development age. For example: according to the embodiment of the invention, the image of the three-part cranium can be shot to be used as the cranium training image, the hand skeleton image of the three-part cranium is shot, the development age of the three-part cranium is determined from the hand skeleton image of the three-part cranium, the development age of the three-part cranium is labeled to the cranium training image corresponding to the three-part cranium, and the cranium training image labeled with the development age of the three-part cranium is used for training the development age determination model. It should be noted that the time for acquiring the skull training image and the time for acquiring the hand skeleton image should be within a preset time interval. For example: the time for collecting the three-zhang skull training image and the time interval for collecting the three-zhang hand skeleton image are within the preset time interval. Alternatively, the preset time interval may be 1 minute, 1 hour, 1 day, and 1 month.

S20, performing machine learning on the at least one cranium feature information to obtain the developmental age determination model, wherein the developmental age determination model has the following inputs: and the cranial feature information corresponding to the morphological development feature image of the cranial surface, and the output of the development age determination model is as follows: and the development age matched with the morphological development characteristic image of the skull surface.

Optionally, in the embodiment of the present invention, an image of a skull of a human body corresponding to the target human body information may be selected as the skull training image. Alternatively, the target human body information may include at least one of gender, region, calendar age, height, weight, nationality, city, urban-rural union, and rural area. For example: in the embodiment of the invention, only the image of the cranium of the human body with the gender of a male can be used as the cranium training image, and the image of the cranium of the human body with the region of Yunnan and the calendar age of 14 can also be used as the cranium training image. It is to be understood that, when an image of a skull of a human body corresponding to the target human body information is selected as the skull training image, the trained developmental age determination model may be exclusively used to determine the developmental age of the user corresponding to the target human body information.

The development age can accurately reflect the growth and development level and the maturity of the human body, and is an objective index for evaluating the growth and development rule of the human body. Alternatively, the developmental age may comprise bone age and/or tooth age. The bone age is the abbreviation of bone age, and the development degree of the bone is mainly judged according to the state of maturity change in the bone development process (calcification, formation of ossification center, deformation of the ossification center and the degree of metaphyseal healing of the ossification center).

Alternatively, based on the method shown in fig. 1, as shown in fig. 8, another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile of the child according to the embodiment of the present invention may include:

s310, inputting the at least one cranial feature information into a preset development age determination model, so that the development age determination model determines and outputs a development age matched with the cranial surface morphological development feature image according to the at least one cranial feature information and/or the proportional relation among different cranial feature information.

It can be understood that, in the training process of the model for determining the developmental age, the embodiment of the present invention may obtain a proportional relationship between different cranial feature information, perform machine learning on the proportional relationship, and determine a corresponding relationship between the proportional relationship and the developmental age, so that the obtained model for determining the developmental age has a function of determining the developmental age according to at least one cranial feature information in the morphological developmental feature image of the cranial surface of the user and/or the proportional relationship between different cranial feature information.

Optionally, the developmental age determination model may directly output the developmental age matched with the morphological developmental feature image of the cranial surface according to the cranial feature information. For example: the embodiment of the invention can determine the development age according to the length of a longitudinal axis between the glabellar point and the infranasal point, can also determine the development age according to the width of a transverse axis between the glabellar point and the nasal wing point, and can also determine the development age according to the area of a graph formed between the glabellar point and the pupillary point. For example: the development age was determined to be 17 years when the length of the longitudinal axis between the glabellar point and the infranasal point was 177 pixels. The development age was determined to be 19 years old when the width of the transverse axis between the glabellar point and the alar point was 28 pixels. When the area of the graph constituted between the glabellar point and the pupillary point was 392 pixels, the development age was determined to be 15 years old.

Optionally, the developmental age determination model may determine and output the developmental age matched with the cranial surface morphological developmental feature image directly according to a proportional relationship between different cranial feature information. For example: the embodiment of the invention can determine the development age according to the proportional relationship between the length of the longitudinal axis between the glabella point and the hair margin point, the length of the longitudinal axis between the glabella point and the infranasal point and the length of the longitudinal axis between the glabella point and the inframental point. For example: the development age was determined to be 16 years old when the proportional relationship between the length of the longitudinal axis between the glabellar point and the hair margin point, the length of the longitudinal axis between the glabellar point and the infranasal point, and the length of the longitudinal axis between the glabellar point and the inframental point was 6:5: 10.

Optionally, the developmental age determination model may determine and output a developmental age matched with the cranial surface morphological developmental feature image according to a proportional relationship between at least one cranial feature information and different cranial feature information. For example: the embodiment of the invention can determine the development age according to the length of the longitudinal axis between the glabella point and the infranasal point, the length of the longitudinal axis between the glabella point and the hair margin point and the length of the longitudinal axis between the glabella point and the inframental point. For example: the development age was determined to be 12 years when the length of the longitudinal axis between the glabellar point and the infranasal point was 126 pixels, and the proportional relationship between the length of the longitudinal axis between the glabellar point and the limbus point and the length of the longitudinal axis between the glabellar point and the submental point was 1: 2.5.

The embodiment of the invention can set the cranial feature information specifically used for determining the development age for the preset development age determination model.

Optionally, in the embodiment of the present invention, the cranial feature information may be set in the developmental age determination model to determine the weight corresponding to the developmental age. Specifically, according to different target human body information, the embodiment of the invention can set the feature information of each skull part for determining the weight corresponding to the development age. According to the embodiment of the invention, the skull feature information is set to determine the weight corresponding to the development age, so that the determined development age is more scientific and accurate.

Alternatively, based on the method shown in fig. 1, as shown in fig. 9, another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile of a child provided in the embodiment of the present invention, step S310 may include:

s311, inputting the length of a longitudinal axis and the width of a transverse axis between at least two preset cranium key points into a preset development age determining model, so that the development age determining model determines and outputs the development age matched with the cranium surface morphological development feature image according to the proportional relation between the length of the longitudinal axis and the width of the transverse axis.

For ease of understanding, the description is made herein by way of example: the development age determination model may determine the development age to be 8 years when the proportional relationship between the length of the vertical axis and the width of the horizontal axis between the glabellar point and the accent point is 5.3: 2.5.

Alternatively, based on the method shown in fig. 1, as shown in fig. 10, another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile of a child provided in the embodiment of the present invention, step S310 may include:

s312, inputting the length of a longitudinal axis, the width of a transverse axis and at least one piece of graphic information between at least two preset cranium key points into a preset development age determining model, so that the development age determining model determines and outputs the development age matched with the cranium surface morphological development feature image according to the proportional relation among the length of the longitudinal axis, the width of the transverse axis and the graphic area in the graphic information, wherein the graphic information is formed by connecting more than any three preset cranium key points.

For ease of understanding, the description is made herein by way of example: when the ratio of the length of the longitudinal axis between the glabellar point and the oral corner point to the width of the transverse axis and the area of a triangle formed by connecting the glabellar point and the two oral corner points is 5.3:2.5:13.25, the development age determination model can determine that the development age is 8 years old.

Alternatively, based on the method shown in fig. 1, as shown in fig. 11, another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile of the child according to the embodiment of the present invention, step S310 may include:

s313, inputting at least one piece of graphic information into a preset development age determination model, so that the development age determination model determines and outputs a development age matched with the morphological development characteristic image of the skull surface according to the proportional relation between the angles in the graphic information, wherein the graphic information is formed by connecting more than three preset skull key points.

For ease of understanding, the description is made herein by way of example: when the proportional relationship between the glabellar point and the angle inside the triangle formed by connecting the two corner points is 10:13:13, the development age determination model can determine that the development age is 8 years old.

Alternatively, based on the method shown in fig. 1, as shown in fig. 12, another method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranial surface of a juvenile of a child provided in the embodiment of the present invention, step S310 may include:

s314, inputting the length of a longitudinal axis and the width of a transverse axis between at least two preset cranium key points and at least one piece of graphic information into a preset development age determination model so that the development age determination model determines and outputs the development age matched with the cranium surface morphological development characteristic image according to the length of the longitudinal axis, the width of the transverse axis and the proportional relation between the graphic area and the angle inside the graphic in the graphic information, wherein the graphic information is formed by connecting more than any three preset cranium key points.

For ease of understanding, the description is made herein by way of example: when the proportional relation between the length of the longitudinal axis between the glabellar point and the mouth corner point, the width of the transverse axis, the area of a triangle formed by connecting the glabellar point and the two mouth corner points and the angle inside the triangle formed by connecting the glabellar point and the two mouth corner points is 5.3:2.5:13.25:50:65:65, the development age determining model can determine that the development age is 8 years old.

It is to be understood that the foregoing examples are for ease of understanding and description only. In practical cases, the developmental age determination model provided in the embodiment of the present invention may determine the developmental age according to the corresponding relationship between the at least one cranial feature information and/or the proportional relationship between different cranial feature information obtained by machine learning and the developmental age, after determining the proportional relationship between the at least one cranial feature information and/or different cranial feature information.

It can be understood that, in the embodiment of the present invention, the preset cranial feature information determination model and the preset development age determination model may be integrated into one model, so that after the model obtains the cranial surface morphological development feature image of the user, the model outputs the development age matched with the cranial surface morphological development feature image.

The method for determining the development age of the individual based on the cranium surface morphological development characteristics of the children and the teenagers, which is provided by the embodiment of the invention, can obtain the cranium surface morphological development characteristic image of a user; inputting the cranium surface morphological development characteristic image into a preset cranium characteristic information determination model to obtain at least one cranium characteristic information output by the cranium characteristic information determination model; and inputting the information of the at least one cranial feature into a preset development age determination model, and obtaining the development age which is output by the development age determination model and matched with the morphological development feature image of the cranial surface. According to the embodiment of the invention, the development age matched with the cranial surface morphological development characteristic image can be determined through the cranial characteristic information in the cranial surface morphological development characteristic image of the user, so that the development age of the user can be determined more simply and quickly, and the efficiency of determining the development age of the user is improved.

Experiments show that through the method for determining the individual development age based on the cranium surface morphological development characteristics of the children and the teenagers, the error between the development age determined by the cranium surface morphological development characteristic image of the user and the actual development age of the user can be less than 3 months, so that the purpose of objectively and accurately evaluating the growth and development degree of the user through the development age determined by the embodiment of the invention is achieved, and a basis can be provided for improving the physical health level of the children and the teenagers, performing sports and divided age games on the teenagers, selecting sports materials, identifying judicial expertise and the like. In addition, the embodiment of the invention can determine the development age of the user without shooting the skeleton image of the user, thereby avoiding the irradiation of X-rays and other rays on the user and ensuring the health and safety of the user.

Preferably, the method for determining the development age of the individual based on the cranium morphological development characteristics of the child and the teenager, provided by the embodiment of the invention, can be effectively applied to the field of determination of the development age of the child and the teenager, has high accuracy in determining the development age of the child and the teenager, and plays a guiding role in subsequently judging the growth development level and the maturation process of the child and the teenager.

Corresponding to the above method embodiments, an embodiment of the present invention further provides an apparatus for determining an age of an individual based on morphological developmental characteristics of a cranial surface of a juvenile, the apparatus having a structure as shown in fig. 13, and the apparatus may include: a cranial surface morphological development characteristic image obtaining unit 100, a cranial characteristic information obtaining unit 200 and a development age obtaining unit 300.

The cranial surface morphological development feature image obtaining unit 100 may be configured to obtain a cranial surface morphological development feature image of a user.

Wherein, the skull surface morphological development characteristic image is a surface morphological image of the skull in the human body growth and development process. Alternatively, the cranium defined for the human body according to international anatomical terms includes a cranium and a cranium, wherein the facial morphology of the cranium and the cranium is characterized in that the upper posterior part divided by a line connecting the upper edge of the orbit and the upper edge of the external auditory meatus is the cranium, and the lower anterior part is the cranium. Wherein the surface morphology features include the length, width, size of the area of the different regions, size of the depressions and projections, etc. in proportional relationship. Alternatively, the facial morphological features of the skull may include features of the five sense organs, chin, forehead and cheeks. The surface morphology features of the cranium may include features such as a contour of the cranium. Optionally, the morphological development characteristic image of the skull surface can be a two-dimensional plane image or a three-dimensional model image.

Optionally, the cranial surface morphological development feature image obtaining unit 100 may obtain the cranial surface morphological development feature image of the user through an image collecting device (such as a mobile phone or a digital camera) or may obtain the cranial surface morphological development feature image of the user through extraction from a storage medium storing the cranial surface morphological development feature image of the user.

The cranial feature information obtaining unit 200 may be configured to input the cranial surface morphological development feature image into a preset cranial feature information determination model, and obtain at least one cranial feature information output by the cranial feature information determination model.

Wherein, the cranial feature information determination model can be a convolutional neural network model. Optionally, the cranial feature information may be feature data reflecting a growth rule of a human body in the morphological development feature image of the cranial surface.

Optionally, in another apparatus for determining an individual development age based on a cranium surface morphological development characteristic of a juvenile, the cranium characteristic information obtaining unit 200 may be specifically configured to input the cranium surface morphological development characteristic image into a preset cranium characteristic information determining model, so that the cranium characteristic information determining model determines at least two preset cranium key points in the cranium surface morphological development characteristic image, and determines and outputs at least one cranium characteristic information according to the at least two preset cranium key points.

In order to accurately obtain the cranial feature information, the embodiment of the invention can preset cranial key points related to the growth and development rule of the human body. Optionally, the preset skull key points include an glabellar point, a hair flange point, a pupil point, a nasal wing point, a infraorbital point, an infranasal point, an oral angle point, a submental point, a nasal bridge point, an intraocular angle point and an extraocular angle point.

Wherein the longitudinal axis is parallel to the median sagittal facial line of the human body, and the transverse axis is perpendicular to the median sagittal facial line of the human body. The embodiment of the invention can obtain the length of the longitudinal axis and/or the width of the transverse axis between any two preset cranial key points. Alternatively, the longitudinal axis length may be the distance between two predetermined cranial keypoints in the longitudinal axis direction, and the transverse axis width may be the distance between two predetermined cranial keypoints in the transverse axis direction.

The embodiment of the invention can preset more than three preset cranium key points for connecting and forming the graphic information. And determining the graph area and the graph internal angle in the graph information through the graph information formed by connecting the more than three preset cranial key points.

The developmental age obtaining unit 300 may be configured to input the at least one cranium feature information into a preset developmental age determination model, and obtain a developmental age output by the developmental age determination model and matched with the cranium surface morphological developmental feature image.

Wherein, the preset development age determination model may be a convolutional neural network model.

Optionally, in another apparatus for determining an individual development age based on a cranium morphological development characteristic of a juvenile, the development age obtaining unit 300 may be specifically configured to input the at least one cranium characteristic information into a preset development age determination model, so that the development age determination model determines and outputs a development age matched with the cranium morphological development characteristic image according to the at least one cranium characteristic information and/or a proportional relationship between different cranium characteristic information.

Optionally, in the embodiment of the present invention, the cranial feature information may be set in the developmental age determination model to determine the weight corresponding to the developmental age.

Optionally, in another apparatus for determining an individual development age based on a cranium surface morphological development feature of a juvenile, the development age obtaining unit 300 may be specifically configured to input a longitudinal axis length and a transverse axis width between at least two preset cranium key points into a preset development age determination model, so that the development age determination model determines and outputs a development age matched with the cranium surface morphological development feature image according to a proportional relationship between the longitudinal axis length and the transverse axis width.

Optionally, in another apparatus for determining an individual development age based on a cranium morphological development feature of a juvenile, the development age obtaining unit 300 may be specifically configured to input a longitudinal axis length, a transverse axis width, and at least one piece of graphic information between at least two preset cranium key points into a preset development age determination model, so that the development age determination model determines and outputs a development age matched with the cranium morphological development feature image according to a proportional relationship between the longitudinal axis length, the transverse axis width, and a graphic area in the graphic information, where the graphic information is formed by connecting any more than three preset cranium key points.

Optionally, in another apparatus for determining an individual development age based on a cranium morphological development feature of a juvenile, the development age obtaining unit 300 may be specifically configured to input at least one piece of graphic information into a preset development age determination model, so that the development age determination model determines and outputs a development age matched with the cranium morphological development feature image according to a proportional relationship between angles in a graphic in the graphic information, where the graphic information is formed by connecting any three or more preset cranium key points.

Optionally, in another apparatus for determining an individual development age based on morphological development characteristics of a cranial surface of a child or an adolescent, the development age obtaining unit 300 may be specifically configured to input a longitudinal axis length and a transverse axis width between at least two preset cranial key points and at least one piece of graphic information into a preset development age determination model, so that the development age determination model determines and outputs a development age matched with the morphological development characteristics image of the cranial surface according to the longitudinal axis length, the transverse axis width and a proportional relationship between a graphic area in the graphic information and an angle inside the graphic, where the graphic information is formed by connecting any three or more preset cranial key points.

The device for determining the development age of the individual based on the cranium surface morphological development characteristics of the children and the teenagers, which is provided by the embodiment of the invention, can obtain the cranium surface morphological development characteristic image of a user; inputting the cranium surface morphological development characteristic image into a preset cranium characteristic information determination model to obtain at least one cranium characteristic information output by the cranium characteristic information determination model; and inputting the information of the at least one cranial feature into a preset development age determination model, and obtaining the development age which is output by the development age determination model and matched with the morphological development feature image of the cranial surface. According to the embodiment of the invention, the development age matched with the cranial surface morphological development characteristic image can be determined through the cranial characteristic information in the cranial surface morphological development characteristic image of the user, so that the development age of the user can be determined more simply and quickly, and the efficiency of determining the development age of the user is improved.

The device for determining the individual development age according to the cranium surface morphological development characteristics comprises a processor and a memory, wherein the cranium surface morphological development characteristic image obtaining unit 100, the cranium characteristic information obtaining unit 200, the development age obtaining unit 300 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.

The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the development age matched with the skull surface morphological development characteristic image is obtained by adjusting the kernel parameters, so that the development age of the user can be determined more simply and quickly, and the efficiency of determining the development age of the user is improved.

An embodiment of the present invention provides a storage medium having a program stored thereon, which when executed by a processor, implements the method for determining an ontogeny age according to cranium surface morphological developmental features.

An embodiment of the present invention provides a processor, which is configured to execute a program, where the program executes the method for determining the development age of an individual according to the morphological development characteristics of the skull surface.

The embodiment of the invention provides computer equipment, which comprises at least one processor, at least one memory and a bus, wherein the memory and the bus are connected with the processor; the processor and the memory complete mutual communication through a bus; the processor is used for calling the program instructions in the memory to execute the method for determining the development age of the individual according to the morphological development characteristics of the skull surface.

As shown in fig. 14 and fig. 15 or fig. 16, an apparatus for determining an age of an individual based on a cranium morphological developmental feature of a juvenile includes a cranium morphological developmental feature image receiving apparatus, a processor 410, a memory 420, a communication bus 430, and an output apparatus, where the memory 420 stores a program executable on the processor 410.

The processor 410 is communicatively connected to the image receiving device of the morphological developmental features of the cranial surface, the memory 420 and the output device, respectively, via the communication bus 430.

The skull surface morphological development feature image receiving device receives a skull surface morphological development feature image of a user.

The processor 410 when executing the program implements the method for determining the developmental age of an individual based on the morphological developmental characteristics of the cranium surface of a juvenile as described in any of the above.

Fig. 14 is a schematic connection diagram of the processor 410, the memory 420, and the communication bus 430 according to an embodiment of the present invention.

Optionally, as shown in fig. 15, a schematic component composition diagram of an apparatus for determining an age of an individual based on a cranium morphological developmental characteristic of a juvenile is provided in an embodiment of the present invention, and the image receiving apparatus for cranium morphological developmental characteristic may include a photographing apparatus 440 and a data interface. After the user can shoot the user through the shooting device 440, a cranium surface morphological development feature image of the user is obtained, or a cranium surface morphological development feature image of the user is obtained through an external device connected with a data interface, and then the cranium surface morphological development feature image is transmitted to the processor 410, after the processor 410 executes the method for determining the individual development age based on the cranium surface morphological development feature of the children and teenagers on the cranium surface morphological development feature image, the development age matched with the cranium surface morphological development feature image is output through an output device. The data interface may be a USB interface, a bluetooth communication interface, a Wi-Fi communication interface, or the like.

Optionally, the output device may be a display screen 460. Optionally, the device for determining the development age of the individual based on the morphological development characteristics of the cranium surface of the juvenile may further include an input device, wherein the input device may be a key 450 or a touch screen. It will be appreciated that the output device and the input device may be the same device, for example: the display screen 460 is a touch screen.

The user may control the device for determining the developmental age of an individual based on the morphological developmental features of the cranium surface of a child or adolescent through the keys 450 or the touch screen. For example: the user can control the photographing device 440 to photograph the user through photographing operation on the touch screen, so as to obtain a cranium surface morphological development characteristic image of the user, after the cranium surface morphological development characteristic image of the user is obtained, the cranium surface morphological development characteristic image can be displayed on the touch screen, then the user can perform operation of executing the method for determining the development age of the individual based on the cranium surface morphological development characteristic of the juvenile, through the touch screen, and after the development age matched with the cranium surface morphological development characteristic image is obtained, the development age matched with the cranium surface morphological development characteristic image can be displayed on the touch screen.

Optionally, after obtaining the cranium surface morphological development feature map of the user, the user may input the human body information of the user through the key 450 or the touch screen, so that the processor 410 may select a development age determination model corresponding to the human body information according to the human body information, and determine the development age matched with the cranium surface morphological development feature image of the user.

Optionally, as shown in fig. 16, a schematic component composition diagram of another apparatus for determining an age of an individual based on a cranium morphological developmental feature of a juvenile may be provided in the embodiment of the present invention, the cranium morphological developmental feature image receiving apparatus may include a cranium morphological developmental feature image holding box 10 and an operating mechanism, and the cranium morphological developmental feature image receiving apparatus may further include a scanning apparatus or a photographing apparatus. According to the embodiment of the invention, the skull surface morphological development characteristic map containing box 10 can be driven by the operating mechanism to extend out of the equipment for determining the development age of the individual based on the skull surface morphological development characteristics of the children and teenagers. Specifically, the apparatus for determining the developmental age of an individual based on the morphological developmental characteristics of the cranium surface of a young child or adolescent is provided with a gateway 20, and the cranium surface morphological developmental characteristic map holding box 10 can be extended out of or retracted into the gateway 20. After the cranium surface morphological development feature map containing box 10 extends out of the gateway 20, the user can put the cranium surface morphological development feature map into the cranium surface morphological development feature map containing box 10, then the cranium surface morphological development feature map containing box 10 is retracted into the equipment for determining the development age of the individual based on the cranium surface morphological development feature of the juvenile, then the cranium surface morphological development feature map in the cranium surface morphological development feature map containing box 10 is scanned or photographed by the scanning equipment or the photographing equipment, and then the cranium surface morphological development feature map is obtained and sent to the processor 410, and after the processor 410 performs any one of the methods for determining the development age of the individual based on the cranium surface morphological development feature of the juvenile, and outputting the development age matched with the morphological development characteristic image of the skull surface through an output device.

Alternatively, the output device may be a display screen and/or a printer.

Optionally, the device for determining the development age of the individual based on the morphological development characteristics of the cranium surface of the juvenile may further include an input device, wherein the input device may be a key or a touch screen 30.

The user can control the device for determining the development age of the individual based on the morphological development characteristics of the cranium surface of the juvenile through a key or a touch screen 30. For example: the user firstly controls the cranial morphological development feature map containing box 10 of the equipment for determining the development age of the individual based on the cranial morphological development feature of the juvenile to extend out of the entrance 20 through the key or the touch screen 30, and retracts the cranial morphological development feature map containing box 10 through the key or the touch screen 30 after putting the cranial morphological development feature map. Optionally, the obtained development age matched with the morphological development feature image of the skull surface may be automatically output, or may be output according to an operation of a user. For example: the development age matched with the image of the cranium surface morphological development characteristic is output from a printer, which may be disposed inside the apparatus for determining the individual development age based on the cranium surface morphological development characteristic of the juvenile, and the printing paper exhibiting the development age matched with the image of the cranium surface morphological development characteristic is output through a printing paper output port 40 shown in fig. 16.

It should be understood that fig. 15 and fig. 16 are only examples of two optional component combinations of an apparatus for determining an age of development of an individual based on a morphological developmental characteristic of a cranial surface of a child or an adolescent according to an embodiment of the present invention, and an apparatus for determining an age of development of an individual based on a morphological developmental characteristic of a cranial surface of a child or an adolescent according to an embodiment of the present invention may also be other component combinations, which are not illustrated herein.

The device herein may be a server, a PC, a PAD, a mobile phone, etc.

The present application also provides a computer program product adapted to perform, when executed on a data processing device, a program initialized with the steps comprised in the method of determining an age of development of an individual based on morphological developmental features of a cranial surface as described above.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.

The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include transitory computer readable media (transmyedia) such as modulated data signals and carrier waves.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.

All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for determining the development age of an individual based on the craniofacial morphological development characteristics of a juvenile, which comprises the following steps:

inputting the cranium surface morphological development characteristic image into a preset cranium characteristic information determination model to obtain at least one cranium characteristic information output by the cranium characteristic information determination model; the cranial feature information comprises the length of a longitudinal axis and/or the width of a transverse axis between two preset cranial key points, and/or the graphic information formed by connecting more than three preset cranial key points, wherein the graphic information comprises the graphic area and the angle inside the graphic;

the inputting the cranium surface morphological development characteristic image into a preset cranium characteristic information determination model to obtain at least one cranium characteristic information output by the cranium characteristic information determination model comprises: inputting the cranium surface morphological development characteristic image into a preset cranium characteristic information determination model so that the cranium characteristic information determination model determines at least two preset cranium key points in the cranium surface morphological development characteristic image, and determining and outputting at least one cranium characteristic information according to the at least two preset cranium key points;

inputting the at least one cranial feature information into a preset development age determination model, and obtaining a development age which is output by the development age determination model and matched with the cranial surface morphological development feature image, wherein the development age comprises the following steps: inputting the length of a longitudinal axis and the width of a transverse axis between at least two preset cranium key points and at least one piece of graphic information into a preset development age determination model so that the development age determination model determines and outputs the development age matched with the cranium surface morphological development feature image according to the length of the longitudinal axis, the width of the transverse axis and the proportional relation between the graphic area in the graphic information and the angle inside the graphic, wherein the graphic information is formed by connecting more than any three preset cranium key points.

2. The method of claim 1, wherein the pre-determined cranial key points include an glabellar point, a limbus point, a pupillary point, a alar point, a infraorbital point, a subnasal point, an oral angular point, a submental point, a nasal bridge point, an intra-ocular angular point, and an extraocular angular point.

3. An apparatus for determining the development age of an individual based on the cranium surface morphological development characteristics of a child or an adolescent is characterized by comprising a cranium surface morphological development characteristic image receiving device, a processor, a memory, a communication bus and an output device, wherein the memory is stored with a program which can run on the processor,

the processor when executing the program realizes the method for determining the development age of the individual based on the morphological development characteristics of the cranium surface of the juvenile as described in any one of the above claims 1 to 2;