CN116862906A - Eye detection device and method - Google Patents
Eye detection device and method Download PDFInfo
- Publication number
- CN116862906A CN116862906A CN202311073475.9A CN202311073475A CN116862906A CN 116862906 A CN116862906 A CN 116862906A CN 202311073475 A CN202311073475 A CN 202311073475A CN 116862906 A CN116862906 A CN 116862906A
- Authority
- CN
- China
- Prior art keywords
- focus
- information
- offset
- change
- parameter information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 90
- 238000000034 method Methods 0.000 title abstract description 35
- 230000008859 change Effects 0.000 claims abstract description 151
- 230000009467 reduction Effects 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 5
- 238000007781 pre-processing Methods 0.000 claims description 4
- 210000004279 orbit Anatomy 0.000 abstract description 28
- 238000012790 confirmation Methods 0.000 description 8
- 230000003902 lesion Effects 0.000 description 7
- 230000008569 process Effects 0.000 description 6
- 238000003745 diagnosis Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000003247 decreasing effect Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000001788 irregular Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/14—Arrangements specially adapted for eye photography
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/66—Analysis of geometric attributes of image moments or centre of gravity
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30041—Eye; Retina; Ophthalmic
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Radiology & Medical Imaging (AREA)
- Animal Behavior & Ethology (AREA)
- Molecular Biology (AREA)
- Ophthalmology & Optometry (AREA)
- Veterinary Medicine (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Surgery (AREA)
- Quality & Reliability (AREA)
- Biophysics (AREA)
- Heart & Thoracic Surgery (AREA)
- Biomedical Technology (AREA)
- Geometry (AREA)
- Eye Examination Apparatus (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The application relates to an eye detection device and method, and relates to the technical field of eye detection, wherein the method comprises the following steps: the basic information acquisition module is used for analyzing and acquiring orbital parameter information, iris parameter information and focus parameter information based on eye images of the person to be detected; the focus offset analysis module is used for obtaining focus current offset information based on the orbit parameter information, the iris parameter information and the focus parameter information; and the deviation change analysis module is used for comparing the focus current deviation information with focus current deviation information corresponding to the last detection period to obtain focus deviation change information. The application is based on iris and eye socket as reference basis, to identify the change condition of focus relative reference, thereby obtaining focus change information and providing data reference basis for subsequent work.
Description
Technical Field
The application relates to the technical field of ophthalmic detection, in particular to an ophthalmic detection device and an ophthalmic detection method.
Background
At present, with the gradual increase of the frequency of use of electronic devices, the demand for disease diagnosis of ophthalmic diseases is increasing. The traditional ophthalmic diagnosis is mostly detected by manually operating a detection device by a medical staff, and then is judged manually by a doctor.
The traditional medical means can not objectively and accurately identify the change condition of the focus due to the need of human judgment, and can not provide visual data basis for the diagnosis of doctors.
Therefore, a reliable and visual data basis is provided for assisting diagnosis, and an ophthalmic detection technology is provided to meet the use requirement.
Disclosure of Invention
The application provides an eye detection device and method, which are used for identifying the change condition of focus relative reference based on iris and eye socket as reference basis, so as to obtain focus change information and provide data reference basis for subsequent work.
To achieve the above object, the present application provides the following means.
In a first aspect, the present application provides an eye detection device, the device comprising:
the basic information acquisition module is used for analyzing and acquiring orbital parameter information, iris parameter information and focus parameter information based on eye images of the person to be detected;
a focus offset analysis module, configured to obtain focus current offset information based on the orbit parameter information, the iris parameter information, and the focus parameter information;
the deviation change analysis module is used for comparing the focus current deviation information with focus current deviation information corresponding to the previous detection period to obtain focus deviation change information; wherein,,
the focus current offset information comprises an offset direction and a corresponding offset;
the focus offset change information includes an offset change direction and a corresponding offset change amount.
Further, the focus offset analysis module is further configured to construct a custom eye coordinate system based on the orbital parameter information;
the focus offset analysis module is also used for obtaining iris center point coordinates based on the iris parameter information and the custom eye coordinate system;
the focus offset analysis module is further used for obtaining focus custom center point coordinates based on the focus parameter information and the custom eye coordinate system;
the focus offset analysis module is also used for obtaining focus current offset information based on the iris center point coordinates and the focus self-defined center point coordinates.
Further, the deviation change analysis module is further configured to compare the focus current deviation information with focus current deviation information corresponding to a plurality of historical detection periods, so as to obtain focus deviation change rule information.
Further, the focus offset analysis module is further configured to obtain focus contour information based on the focus parameter information;
the focus offset analysis module is also used for obtaining at least two focus extreme value coordinate points based on the focus contour information;
the focus offset analysis module is further used for obtaining the maximum focus width and the maximum focus height based on each focus extreme value coordinate point;
the focus offset analysis module is further configured to obtain a focus influence range based on the focus maximum width and the focus maximum height.
Further, the deviation change analysis module is further configured to compare the maximum focal width and the maximum focal height of the current detection period with the maximum focal width and the maximum focal height of the previous detection period, so as to obtain focal width change information and focal height change information.
Further, the deviation change analysis module is further configured to compare the maximum focal width and the maximum focal height of the current detection period with the maximum focal width and the maximum focal height of the focus corresponding to the plurality of historical detection periods, so as to obtain focus width change rule information and focus height change rule information.
Further, the offset change analysis module is further configured to compare the focus influence range of the current detection period with the focus influence range corresponding to the previous detection period, so as to obtain focus influence range change information.
Further, the offset change analysis module is further configured to compare the focus influence range of the current detection period with the focus influence ranges corresponding to a plurality of historical detection periods, so as to obtain focus influence range change rule information.
Further, the device also comprises an image preprocessing module, which is used for carrying out noise reduction processing on the eye image of the person to be detected to obtain a preprocessed eye image;
the basic information acquisition module is also used for analyzing and acquiring the orbit parameter information, the iris parameter information and the focus parameter information based on the preprocessed eye image.
In a second aspect, the present application provides an eye detection method comprising the steps of:
analyzing and obtaining orbital parameter information, iris parameter information and focus parameter information based on eye images of the person to be detected;
acquiring focus current offset information based on the orbit parameter information, the iris parameter information and the focus parameter information;
comparing the focus current offset information with focus current offset information corresponding to the last detection period to obtain focus offset change information; wherein,,
the focus current offset information comprises an offset direction and a corresponding offset;
the focus offset change information includes an offset change direction and a corresponding offset change amount.
Further, the method for obtaining focus current offset information based on the orbit parameter information, the iris parameter information and the focus parameter information includes the following steps:
constructing a custom eye coordinate system based on the orbital parameter information;
based on the iris parameter information and the custom eye coordinate system, obtaining iris center point coordinates;
based on the focus parameter information and the custom eye coordinate system, acquiring focus custom center point coordinates;
and obtaining focus current offset information based on the iris center point coordinates and the focus self-defined center point coordinates.
Further, the method comprises the following steps:
comparing the focus current offset information with focus current offset information corresponding to a plurality of historical detection periods to obtain focus offset change rule information.
Further, the method comprises the following steps:
based on the focus parameter information, focus outline information is obtained;
obtaining at least two focus extremum coordinate points based on the focus contour information;
obtaining the maximum width and maximum height of the focus based on each focus extreme value coordinate point;
and obtaining a focus influence range based on the focus maximum width and the focus maximum height.
Further, the method comprises the following steps:
comparing the focus maximum width and focus maximum height of the current detection period with the focus maximum width and focus maximum height corresponding to the previous detection period to obtain focus width change information and focus height change information.
Further, the method comprises the following steps:
comparing the focus maximum width and focus maximum height of the current detection period with the focus maximum width and focus maximum height corresponding to a plurality of historical detection periods to obtain focus width change rule information and focus height change rule information.
Further, the method comprises the following steps:
and comparing the focus influence range of the current detection period with the focus influence range corresponding to the last detection period to obtain focus influence range change information.
Further, the method comprises the following steps:
and comparing the focus influence range of the current detection period with the focus influence ranges corresponding to a plurality of historical detection periods to obtain focus influence range change rule information.
Further, the method comprises the following steps:
carrying out noise reduction treatment on the eye image of the person to be detected to obtain a preprocessed eye image;
and analyzing and obtaining the orbit parameter information, the iris parameter information and the focus parameter information based on the preprocessed eye image.
The technical scheme provided by the application has the beneficial effects that:
the application is based on iris and eye socket as reference basis, to identify the change condition of focus relative reference, thereby obtaining focus change information and providing data reference basis for subsequent work.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a block diagram of an eye detection device according to an embodiment of the present application;
fig. 2 is a flowchart illustrating steps of an eye detection method according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Embodiments of the present application are described in further detail below with reference to the accompanying drawings.
The embodiment of the application provides an eye detection device and method, which are used for identifying the change condition of focus relative reference based on iris and eye socket as reference basis, so as to obtain focus change information and provide data reference basis for subsequent work.
In order to achieve the technical effects, the general idea of the application is as follows:
an eye detection device, the device comprising:
the basic information acquisition module is used for analyzing and acquiring orbital parameter information, iris parameter information and focus parameter information based on eye images of the person to be detected;
a focus offset analysis module, configured to obtain focus current offset information based on the orbit parameter information, the iris parameter information, and the focus parameter information;
the deviation change analysis module is used for comparing the focus current deviation information with focus current deviation information corresponding to the previous detection period to obtain focus deviation change information; wherein,,
the focus current offset information comprises an offset direction and a corresponding offset;
the focus offset change information includes an offset change direction and a corresponding offset change amount.
Embodiments of the present application are described in further detail below with reference to the accompanying drawings.
As shown in fig. 1 of the drawings, an embodiment of the present application provides an eye detection device, which includes:
the basic information acquisition module is used for analyzing and acquiring orbital parameter information, iris parameter information and focus parameter information based on eye images of the person to be detected;
a focus offset analysis module, configured to obtain focus current offset information based on the orbit parameter information, the iris parameter information, and the focus parameter information;
the deviation change analysis module is used for comparing the focus current deviation information with focus current deviation information corresponding to the previous detection period to obtain focus deviation change information; wherein,,
the focus current offset information comprises an offset direction and a corresponding offset;
the focus offset change information includes an offset change direction and a corresponding offset change amount.
In the embodiment of the application, the change condition of the focus relative to the reference is identified based on the iris and the eye socket as reference bases, so that focus change information is obtained, and a data reference basis is provided for subsequent work.
Further, the focus offset analysis module is further configured to construct a custom eye coordinate system based on the orbital parameter information;
the focus offset analysis module is also used for obtaining iris center point coordinates based on the iris parameter information and the custom eye coordinate system;
the focus offset analysis module is further used for obtaining focus custom center point coordinates based on the focus parameter information and the custom eye coordinate system;
the focus offset analysis module is also used for obtaining focus current offset information based on the iris center point coordinates and the focus self-defined center point coordinates.
It should be noted that the focus custom center point is a relative center point of the focus.
Further, the device also comprises a center point confirmation module, which is used for setting a plurality of focus contour custom points on the contour of the focus based on a first preset interval;
the center point confirmation module is further used for determining a focus custom center point on the focus based on the focus contour custom point; wherein,,
and the sum of the distances between the focus custom center point and each focus contour custom point is minimum.
Further, the center point confirmation module is further configured to determine an orbit highest point, an orbit lowest point, an orbit rightmost point, an orbit leftmost point, and an orbit center point based on the orbit parameter information;
the center point confirmation module is further configured to establish the custom coordinate system with the orbit center point as an origin.
Further, the center point confirmation module is further configured to correct coordinate values of the focus custom center point based on the focus custom center point and a center point coordinate error.
It should be noted that, the specific operation of the center point confirmation module for obtaining the center point coordinate error is as follows:
acquiring the focus actual center point based on the focus image;
in a preset statistical period, obtaining a coordinate error between the actual center point of the focus and the custom center point of the focus;
and calculating and obtaining the coordinate error of the central point based on the average value of the coordinate error in the corresponding statistical period.
It should be noted that, the actual center point of the focus may be measured by a more accurate device, when the focus contour is a regular pattern, the actual center point of the focus is a center point, and if the focus contour is an irregular pattern, it is a custom center point obtained by a more accurate device measurement, and the sum of the distances between the custom center point and the focus contour is the smallest.
Of course, the center point confirmation module is further configured to obtain a center point coordinate error, and compare the center point coordinate error with a coordinate error threshold;
the center point confirmation module is further configured to determine that the ophthalmic detection error is greater when the center point coordinate error is greater than the coordinate error threshold.
It should be noted that, the focus offset change information may be based on the focus custom center point, that is, the coordinate value changes of the focus custom center points in different detection periods are compared, so as to grasp the offset direction and magnitude thereof.
Further, the deviation change analysis module is further configured to compare the focus current deviation information with focus current deviation information corresponding to a plurality of historical detection periods, so as to obtain focus deviation change rule information.
Similarly, the focus offset change information can be based on focus self-defined center points, namely coordinate value changes of focus self-defined center points in different detection periods are compared, so that the direction change rule and the size change rule of the offset can be mastered, and the focus offset change information can be calculated based on a self-defined coordinate system.
Further, the focus offset analysis module is further configured to obtain focus contour information based on the focus parameter information;
the focus offset analysis module is also used for obtaining at least two focus extreme value coordinate points based on the focus contour information;
the focus offset analysis module is further used for obtaining the maximum focus width and the maximum focus height based on each focus extreme value coordinate point;
the focus offset analysis module is further configured to obtain a focus influence range based on the focus maximum width and the focus maximum height.
It should be noted that the focal influence range, i.e., the product of the focal maximum width and the focal maximum height, is used as a summary range of focal influence sizes.
Further, the deviation change analysis module is further configured to compare the maximum focal width and the maximum focal height of the current detection period with the maximum focal width and the maximum focal height of the previous detection period, so as to obtain focal width change information and focal height change information.
It should be noted that, the lesion width change information and the lesion height change information include a change condition and a change size, the change condition is divided into an increase or a decrease, and the change size corresponds to the width change value or the height change value and can be calculated based on a custom coordinate system.
Further, the deviation change analysis module is further configured to compare the maximum focal width and the maximum focal height of the current detection period with the maximum focal width and the maximum focal height of the focus corresponding to the plurality of historical detection periods, so as to obtain focus width change rule information and focus height change rule information.
It should be noted that, the information of the change rule of the focal width and the information of the change rule of the focal height include a change rule and a change rule of the size, the change rule of the change rule is divided into increasing or decreasing, and the change rule of the size corresponds to the change rate of the width or the change rate of the height, and can be calculated based on a custom coordinate system.
Further, the offset change analysis module is further configured to compare the focus influence range of the current detection period with the focus influence range corresponding to the previous detection period, so as to obtain focus influence range change information.
It should be noted that the lesion influence range change information, that is, an area change size relative to the custom coordinate system, may be calculated based on the custom coordinate system.
Further, the offset change analysis module is further configured to compare the focus influence range of the current detection period with the focus influence ranges corresponding to a plurality of historical detection periods, so as to obtain focus influence range change rule information.
Similarly, the change rule information of the focus influence range, that is, an area change rule or an area change rate relative to the custom coordinate system, can be calculated based on the custom coordinate system.
Further, the device also comprises an image preprocessing module, which is used for carrying out noise reduction processing on the eye image of the person to be detected to obtain a preprocessed eye image;
the basic information acquisition module is also used for analyzing and acquiring the orbit parameter information, the iris parameter information and the focus parameter information based on the preprocessed eye image.
In actual work, noise information exists in the eye image of the person to be detected, noise reduction processing is needed, and the influence of interference signals is reduced, so that a clearer preprocessed eye image is obtained.
As shown in fig. 2 of the drawings, an embodiment of the present application provides an eye detection method based on the same inventive concept as the embodiment of the device, the method including the steps of:
s1, analyzing and obtaining orbital parameter information, iris parameter information and focus parameter information based on eye images of a person to be detected;
s2, acquiring focus current offset information based on orbit parameter information, iris parameter information and focus parameter information;
s3, comparing the focus current offset information with focus current offset information corresponding to the previous detection period to obtain focus offset change information; wherein,,
the focus current offset information comprises an offset direction and a corresponding offset;
the lesion offset change information includes an offset change direction and a corresponding offset change amount.
In the embodiment of the application, the change condition of the focus relative to the reference is identified based on the iris and the eye socket as reference bases, so that focus change information is obtained, and a data reference basis is provided for subsequent work.
Further, the method for obtaining focus current offset information based on the orbit parameter information, the iris parameter information and the focus parameter information includes the following steps:
constructing a custom eye coordinate system based on the orbital parameter information;
based on the iris parameter information and the custom eye coordinate system, obtaining iris center point coordinates;
based on the focus parameter information and the custom eye coordinate system, acquiring focus custom center point coordinates;
and obtaining focus current offset information based on the iris center point coordinates and the focus self-defined center point coordinates.
It should be noted that the focus custom center point is a relative center point of the focus.
Further, the method further comprises a focus self-defined center point determining process, wherein the focus self-defined center point determining process comprises the following processes:
setting a plurality of focus contour custom points on the contour of the focus based on a first preset interval;
determining the focus custom center point on the focus based on the focus contour custom point; wherein,,
and the sum of the distances between the focus custom center point and each focus contour custom point is minimum.
Further, the constructing a custom eye coordinate system based on the orbital parameter information includes the following steps:
determining an orbit highest point, an orbit lowest point, an orbit rightmost point, an orbit leftmost point and an orbit center point based on the orbit parameter information;
and taking the orbit center point as an origin, and establishing the custom coordinate system.
Further, the method for obtaining focus custom center point coordinates based on the focus parameter information and the custom eye coordinate system further includes the following steps:
and correcting coordinate values of the focus self-defined center point based on the focus self-defined center point and the center point coordinate error.
It should be noted that, the specific operation of obtaining the center point coordinate error is as follows:
acquiring the focus actual center point based on the focus image;
in a preset statistical period, obtaining a coordinate error between the actual center point of the focus and the custom center point of the focus;
and calculating and obtaining the coordinate error of the central point based on the average value of the coordinate error in the corresponding statistical period.
It should be noted that, the actual center point of the focus may be measured by a more accurate device, when the focus contour is a regular pattern, the actual center point of the focus is a center point, and if the focus contour is an irregular pattern, it is a custom center point obtained by a more accurate device measurement, and the sum of the distances between the custom center point and the focus contour is the smallest.
Of course, the method further comprises the steps of:
acquiring a coordinate error of the central point, and comparing the coordinate error with a coordinate error threshold;
and when the coordinate error of the central point is larger than the coordinate error threshold value, judging that the ophthalmic detection error is larger.
It should be noted that, the focus offset change information may be based on the focus custom center point, that is, the coordinate value changes of the focus custom center points in different detection periods are compared, so as to grasp the offset direction and magnitude thereof.
Further, the method comprises the following steps:
comparing the focus current offset information with focus current offset information corresponding to a plurality of historical detection periods to obtain focus offset change rule information.
Similarly, the focus offset change information can be based on focus self-defined center points, namely coordinate value changes of focus self-defined center points in different detection periods are compared, so that the direction change rule and the size change rule of the offset can be mastered, and the focus offset change information can be calculated based on a self-defined coordinate system.
Further, the method comprises the following steps:
based on the focus parameter information, focus outline information is obtained;
obtaining at least two focus extremum coordinate points based on the focus contour information;
obtaining the maximum width and maximum height of the focus based on each focus extreme value coordinate point;
and obtaining a focus influence range based on the focus maximum width and the focus maximum height.
It should be noted that the focal influence range, i.e., the product of the focal maximum width and the focal maximum height, is used as a summary range of focal influence sizes.
Further, the method comprises the following steps:
comparing the focus maximum width and focus maximum height of the current detection period with the focus maximum width and focus maximum height corresponding to the previous detection period to obtain focus width change information and focus height change information.
It should be noted that, the lesion width change information and the lesion height change information include a change condition and a change size, the change condition is divided into an increase or a decrease, and the change size corresponds to the width change value or the height change value and can be calculated based on a custom coordinate system.
Further, the method comprises the following steps:
comparing the focus maximum width and focus maximum height of the current detection period with the focus maximum width and focus maximum height corresponding to a plurality of historical detection periods to obtain focus width change rule information and focus height change rule information.
It should be noted that, the information of the change rule of the focal width and the information of the change rule of the focal height include a change rule and a change rule of the size, the change rule of the change rule is divided into increasing or decreasing, and the change rule of the size corresponds to the change rate of the width or the change rate of the height, and can be calculated based on a custom coordinate system.
Further, the method comprises the following steps:
and comparing the focus influence range of the current detection period with the focus influence range corresponding to the last detection period to obtain focus influence range change information.
It should be noted that the lesion influence range change information, that is, an area change size relative to the custom coordinate system, may be calculated based on the custom coordinate system.
Further, the method comprises the following steps:
and comparing the focus influence range of the current detection period with the focus influence ranges corresponding to a plurality of historical detection periods to obtain focus influence range change rule information.
Similarly, the change rule information of the focus influence range, that is, an area change rule or an area change rate relative to the custom coordinate system, can be calculated based on the custom coordinate system.
Further, the method comprises the following steps:
carrying out noise reduction treatment on the eye image of the person to be detected to obtain a preprocessed eye image;
and analyzing and obtaining the orbit parameter information, the iris parameter information and the focus parameter information based on the preprocessed eye image.
In actual work, noise information exists in the eye image of the person to be detected, noise reduction processing is needed, and the influence of interference signals is reduced, so that a clearer preprocessed eye image is obtained.
It should be noted that, the eye detection method provided by the embodiment of the application has the corresponding technical problems, technical means and technical effects, and is similar to the eye detection device in principle.
It should be noted that in the present application, relational terms such as "first" and "second" and the like are 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. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The foregoing is merely exemplary of embodiments of the present application to enable those skilled in the art to understand or practice the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An eye detection device, the device comprising:
the basic information acquisition module is used for analyzing and acquiring orbital parameter information, iris parameter information and focus parameter information based on eye images of the person to be detected;
a focus offset analysis module, configured to obtain focus current offset information based on the orbit parameter information, the iris parameter information, and the focus parameter information;
the deviation change analysis module is used for comparing the focus current deviation information with focus current deviation information corresponding to the previous detection period to obtain focus deviation change information; wherein,,
the focus current offset information comprises an offset direction and a corresponding offset;
the focus offset change information includes an offset change direction and a corresponding offset change amount.
2. The eye detection device of claim 1, wherein:
the focus offset analysis module is also used for constructing a custom eye coordinate system based on the orbit parameter information;
the focus offset analysis module is also used for obtaining iris center point coordinates based on the iris parameter information and the custom eye coordinate system;
the focus offset analysis module is further used for obtaining focus custom center point coordinates based on the focus parameter information and the custom eye coordinate system;
the focus offset analysis module is also used for obtaining focus current offset information based on the iris center point coordinates and the focus self-defined center point coordinates.
3. The eye detection device of claim 1, wherein:
the deviation change analysis module is also used for comparing the focus current deviation information with focus current deviation information corresponding to a plurality of historical detection periods to obtain focus deviation change rule information.
4. The eye detection device according to claim 2, wherein:
the focus offset analysis module is also used for obtaining focus contour information based on the focus parameter information;
the focus offset analysis module is also used for obtaining at least two focus extreme value coordinate points based on the focus contour information;
the focus offset analysis module is further used for obtaining the maximum focus width and the maximum focus height based on each focus extreme value coordinate point;
the focus offset analysis module is further configured to obtain a focus influence range based on the focus maximum width and the focus maximum height.
5. The eye detection device of claim 4, wherein:
the deviation change analysis module is further configured to compare the maximum focal width and the maximum focal height of the current detection period with the maximum focal width and the maximum focal height corresponding to the previous detection period, so as to obtain focal width change information and focal height change information.
6. The eye detection device of claim 4, wherein:
the deviation change analysis module is further configured to compare the maximum focal width and the maximum focal height of the current detection period with the maximum focal width and the maximum focal height of the focus corresponding to the plurality of historical detection periods, so as to obtain focus width change rule information and focus height change rule information.
7. The eye detection device of claim 4, wherein:
the offset change analysis module is further configured to compare the focus influence range of the current detection period with the focus influence range corresponding to the previous detection period, and obtain focus influence range change information.
8. The eye detection device of claim 4, wherein:
the offset change analysis module is further configured to compare the focus influence range of the current detection period with the focus influence ranges corresponding to a plurality of historical detection periods, so as to obtain focus influence range change rule information.
9. The eye detection device of claim 1, wherein:
the device also comprises an image preprocessing module, a detection module and a display module, wherein the image preprocessing module is used for carrying out noise reduction processing on the eye images of the person to be detected to obtain preprocessed eye images;
the basic information acquisition module is also used for analyzing and acquiring the orbit parameter information, the iris parameter information and the focus parameter information based on the preprocessed eye image.
10. An eye detection method, comprising the steps of:
analyzing and obtaining orbital parameter information, iris parameter information and focus parameter information based on eye images of the person to be detected;
acquiring focus current offset information based on the orbit parameter information, the iris parameter information and the focus parameter information;
comparing the focus current offset information with focus current offset information corresponding to the last detection period to obtain focus offset change information; wherein,,
the focus current offset information comprises an offset direction and a corresponding offset;
the focus offset change information includes an offset change direction and a corresponding offset change amount.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311073475.9A CN116862906B (en) | 2023-08-24 | 2023-08-24 | Eye detection device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311073475.9A CN116862906B (en) | 2023-08-24 | 2023-08-24 | Eye detection device and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116862906A true CN116862906A (en) | 2023-10-10 |
| CN116862906B CN116862906B (en) | 2023-12-12 |
Family
ID=88228863
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311073475.9A Active CN116862906B (en) | 2023-08-24 | 2023-08-24 | Eye detection device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116862906B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117635613A (en) * | 2024-01-25 | 2024-03-01 | 武汉大学人民医院（湖北省人民医院） | Fundus focus monitoring device and method |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102265308A (en) * | 2008-12-23 | 2011-11-30 | 皇家飞利浦电子股份有限公司 | System for monitoring medical abnormalities and method of operation thereof |
| CN111242926A (en) * | 2020-01-13 | 2020-06-05 | 北京妙医佳健康科技集团有限公司 | Focus detection method and device and electronic equipment |
| US20200327663A1 (en) * | 2019-04-11 | 2020-10-15 | HONGBOG Inc. | Method of analyzing iris image for diagnosing dementia in artificial intelligence |
| US20200367747A1 (en) * | 2019-05-21 | 2020-11-26 | Korea Institute Of Science And Technology | Retina imaging method and device, and retina and optic nerve function evaluation system |
| CN113034426A (en) * | 2019-12-25 | 2021-06-25 | 飞依诺科技(苏州)有限公司 | Ultrasonic image focus description method, device, computer equipment and storage medium |
| CN113066562A (en) * | 2021-04-23 | 2021-07-02 | 江南大学 | Medical image transmission method and system based on 5g |
| CN113645905A (en) * | 2019-03-12 | 2021-11-12 | 三星麦迪森株式会社 | Method for displaying ultrasound image, ultrasound diagnostic apparatus, and computer program product |
| WO2022024479A1 (en) * | 2020-07-31 | 2022-02-03 | 富士フイルム株式会社 | Diagnosis assisting device, operating method and operating program therefor, and diagnosis assisting system |
| CN114092399A (en) * | 2021-10-22 | 2022-02-25 | 海南视联大健康智慧医疗科技有限公司 | Focus marking method, device, electronic equipment and readable storage medium |
| CN114886521A (en) * | 2022-05-16 | 2022-08-12 | 上海睿刀医疗科技有限公司 | Device and method for determining the position of a puncture needle |
| CN114947941A (en) * | 2022-04-21 | 2022-08-30 | 无锡触典科技有限公司 | Focus tracking method, device and storage medium |
| CN114983334A (en) * | 2022-01-13 | 2022-09-02 | 中山大学中山眼科中心 | Slit lamp self-adjustment control method based on machine vision and slit lamp |
-
2023
- 2023-08-24 CN CN202311073475.9A patent/CN116862906B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102265308A (en) * | 2008-12-23 | 2011-11-30 | 皇家飞利浦电子股份有限公司 | System for monitoring medical abnormalities and method of operation thereof |
| CN113645905A (en) * | 2019-03-12 | 2021-11-12 | 三星麦迪森株式会社 | Method for displaying ultrasound image, ultrasound diagnostic apparatus, and computer program product |
| US20200327663A1 (en) * | 2019-04-11 | 2020-10-15 | HONGBOG Inc. | Method of analyzing iris image for diagnosing dementia in artificial intelligence |
| US20200367747A1 (en) * | 2019-05-21 | 2020-11-26 | Korea Institute Of Science And Technology | Retina imaging method and device, and retina and optic nerve function evaluation system |
| CN113034426A (en) * | 2019-12-25 | 2021-06-25 | 飞依诺科技(苏州)有限公司 | Ultrasonic image focus description method, device, computer equipment and storage medium |
| CN111242926A (en) * | 2020-01-13 | 2020-06-05 | 北京妙医佳健康科技集团有限公司 | Focus detection method and device and electronic equipment |
| WO2022024479A1 (en) * | 2020-07-31 | 2022-02-03 | 富士フイルム株式会社 | Diagnosis assisting device, operating method and operating program therefor, and diagnosis assisting system |
| CN113066562A (en) * | 2021-04-23 | 2021-07-02 | 江南大学 | Medical image transmission method and system based on 5g |
| CN114092399A (en) * | 2021-10-22 | 2022-02-25 | 海南视联大健康智慧医疗科技有限公司 | Focus marking method, device, electronic equipment and readable storage medium |
| CN114983334A (en) * | 2022-01-13 | 2022-09-02 | 中山大学中山眼科中心 | Slit lamp self-adjustment control method based on machine vision and slit lamp |
| CN114947941A (en) * | 2022-04-21 | 2022-08-30 | 无锡触典科技有限公司 | Focus tracking method, device and storage medium |
| CN114886521A (en) * | 2022-05-16 | 2022-08-12 | 上海睿刀医疗科技有限公司 | Device and method for determining the position of a puncture needle |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117635613A (en) * | 2024-01-25 | 2024-03-01 | 武汉大学人民医院（湖北省人民医院） | Fundus focus monitoring device and method |
| CN117635613B (en) * | 2024-01-25 | 2024-04-16 | 武汉大学人民医院（湖北省人民医院） | Fundus focus monitoring device and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116862906B (en) | 2023-12-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116862906B (en) | Eye detection device and method | |
| CN111462156B (en) | Image processing method for acquiring corneal vertex | |
| CN108509908B (en) | Pupil diameter real-time measurement method based on binocular stereo vision | |
| CN108537838B (en) | Detection method for hip joint bony acetabulum angle | |
| CN112399817A (en) | Measuring refraction of eye | |
| TW201825040A (en) | Method and system for analyzing wound status | |
| JPH0824227A (en) | Medical image diagnosing apparatus | |
| CN113284090B (en) | Scoliosis detection method and medical platform | |
| CN111803022A (en) | Vision detection method, detection device, terminal equipment and readable storage medium | |
| CN111588353A (en) | Body temperature measuring method | |
| CN112233167B (en) | Automatic measurement method and device for fetal structural characteristics | |
| US8073229B2 (en) | Image analysis of tube tip positioning | |
| CN113222955A (en) | Gear size parameter automatic measurement method based on machine vision | |
| CN115511979A (en) | Endoscope mainboard control system based on gray level conversion | |
| CN116958983A (en) | Pointer type pressure gauge automatic calibrator indication reading method based on machine vision | |
| CN113344823B (en) | Three-dimensional roughness characterization method for ablation area morphology of silver wire type contact | |
| CN106123808B (en) | A method of it is measured for the deflection of automobile rearview mirror specular angle degree | |
| CN114495256A (en) | Abnormal running posture identification method based on depth sensor and machine learning | |
| CN108509845B (en) | Visual inspection method for transformer substation instrument equipment inspection based on feature fitting | |
| Kundu et al. | Cobb angle quantification for scoliosis using image processing techniques | |
| CN112086193A (en) | Face recognition health prediction system and method based on Internet of things | |
| CN110786823A (en) | Infrared pupil identification measurement method and device, storage medium and terminal equipment | |
| CN117635613B (en) | Fundus focus monitoring device and method | |
| US12027272B2 (en) | System and method for predicting diabetic retinopathy progression | |
| RU2814368C1 (en) | Method for diagnosing human feet condition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20231010 Assignee: Wuhan Weier Laibo Technology Co.,Ltd. Assignor: RENMIN HOSPITAL OF WUHAN University (HUBEI GENERAL Hospital) Contract record no.: X2024980000792 Denomination of invention: An eye detection device and method Granted publication date: 20231212 License type: Common License Record date: 20240118 |