CN109389047A - Intelligent graphic recognition processing method and device - Google Patents
Intelligent graphic recognition processing method and device Download PDFInfo
- Publication number
- CN109389047A CN109389047A CN201811068158.7A CN201811068158A CN109389047A CN 109389047 A CN109389047 A CN 109389047A CN 201811068158 A CN201811068158 A CN 201811068158A CN 109389047 A CN109389047 A CN 109389047A
- Authority
- CN
- China
- Prior art keywords
- animal
- information
- composed pattern
- intelligent graphic
- processing method
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/02—Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Image Analysis (AREA)
Abstract
The present invention relates to a kind of intelligent graphic recognition processing method and devices, and wherein intelligent graphic recognition processing method includes: the graphical information for obtaining multiple building blocks;Animal information is converted into according to the graphical information obtained.The graphical information of building blocks is obtained by camera, and converts graphical information to the animal information of its representative, so that the information for realizing real world object to dummy object is converted.
Description
Technical field
The present invention relates to field of image processings, and in particular to a kind of intelligent graphic recognition processing method and device.
Background technique
With the development of economy, people increasingly improve the attention rate of the education of children.For how to allow children quick
Cognition understanding is carried out to animal panoramic inside the Nature, and known to habit title of animal etc..Only with picture
It imparts knowledge to students, there is a problem that following to children as carrier with text, on the one hand, it is interactive poor, lead to easy pair of children
Teaching, which generates, is sick of sense, and on the other hand, attraction is poor, and attention children is made to be easy dispersion.
The teaching method for forming animal by building blocks splicing at this time occurs therewith, however does not have in the acquisition of the figure of building blocks
There is a good mode to be realized.
Therefore, how to solve the above problems, be urgently to be resolved at present.
Summary of the invention
The object of the present invention is to provide a kind of intelligent graphic recognition processing methods.
The present invention provides a kind of intelligent graphic recognition processing method, the intelligent graphic recognition processing method
Include:
Obtain the graphical information of multiple building blocks;
Animal information is converted into according to the graphical information obtained.
Preferably, the method for the graphical information for obtaining multiple building blocks includes:
Obtain the image information of projection screen;It is described to include: according to the graphical information method that is converted into animal information obtained
Judge the distance of closest approach between the two neighboring building blocks obtained;
When the distance of closest approach is less than pre-determined distance, then the graphical information of two adjacent building blocks belongs to same animal spliced map
Case;
Animal composed pattern is compared with the composed pattern prestored;
Animal information is converted by animal composed pattern according to structure is compared.
Image information is subjected to gray proces;
Image information after gray proces is carried out inverse to handle to obtain graphical information.
Preferably, the method that animal composed pattern is compared with the composed pattern prestored includes:
Obtain the cognizance code of animal composed pattern;
The cognizance code that will acquire is compared with the cognizance code of the composed pattern prestored.
Preferably, the cognizance code is image away from that is,
The marginal point of the figure of animal composed pattern is at a distance from central point;
Image is away from the set for distance.
Preferably, the cognizance code is coordinate code, i.e.,
The figure of animal composed pattern is placed on coordinate system, the coordinate of marginal point is obtained;
Coordinate code is the set of coordinate.
Preferably, the method that animal composed pattern is compared with the composed pattern prestored includes:
Animal composed pattern is overlapped with the composed pattern prestored;
Calculate the coincidence factor of animal composed pattern with the composed pattern prestored.
The present invention also provides a kind of intelligent graphic image recognizing and processing equipments, comprising:
Module is obtained, suitable for obtaining the graphical information of multiple building blocks;
Conversion module, suitable for being converted into animal information according to the graphical information obtained.
Preferably, the acquisition module includes:
Image information acquisition submodule, suitable for obtaining the image information of projection screen;
Gray proces submodule, suitable for image information is carried out gray proces;
Inverse handles submodule, handles to obtain graphical information suitable for the image information after gray proces is carried out inverse.
Preferably, the conversion module includes:
Distance Judgment submodule, the distance suitable for closest approach between the two neighboring building blocks of judgement acquisition;
Composed pattern confirms submodule, when being less than pre-determined distance suitable for the distance in closest approach, then the figure of two adjacent building blocks
Shape information belongs to same animal composed pattern;
Submodule is compared, suitable for animal composed pattern to be compared with the composed pattern prestored;
Submodule is converted, suitable for converting animal information for animal composed pattern according to comparison structure.
The invention has the advantages that the present invention provides a kind of intelligent graphic recognition processing method and device,
Middle intelligent graphic recognition processing method includes: the graphical information for obtaining multiple building blocks;According to the graphical information conversion obtained
For animal information.The graphical information of building blocks is obtained by camera, and converts graphical information to the animal information of its representative, from
And the information for realizing real world object to dummy object is converted.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 is the flow diagram of intelligent graphic recognition processing method provided in an embodiment of the present invention.
Fig. 2 is the sub-step flow chart of step S110 in Fig. 1.
Fig. 3 is the sub-step flow chart of step S120 in Fig. 1.
Fig. 4 be intelligent graphic recognition processing method provided in an embodiment of the present invention image away from comparison sample show
It is intended to.
Fig. 5 is the functional block diagram of intelligent graphic image recognizing and processing equipment provided in an embodiment of the present invention.
Fig. 6 is the principle frame of the image collection module of intelligent graphic image recognizing and processing equipment provided in an embodiment of the present invention
Figure.
Fig. 7 is the functional block diagram of the conversion module of intelligent graphic image recognizing and processing equipment provided in an embodiment of the present invention.
Specific embodiment
In conjunction with the accompanying drawings, the present invention is further explained in detail.These attached drawings are simplified schematic diagram, only with
Illustration illustrates basic structure of the invention, therefore it only shows the composition relevant to the invention.
Embodiment 1
As shown in Figure 1, the present embodiment 1 provides a kind of intelligent graphic recognition processing method.Building blocks are obtained by camera
Graphical information, and by graphical information be converted into its representative animal information, thus realize real world object to dummy object letter
Breath conversion.Intelligent graphic recognition processing method, comprising the following steps:
S110: the graphical information of multiple building blocks is obtained.
In the present embodiment, building blocks are spliced on projection screen;Building blocks are obtained on projection screen by camera
Graphical information realizes the information extraction of real world object.Children are formed corresponding with animal pre- by being spliced to building blocks
If the identical moulding of figure, the manipulative ability of children is developed, and participate in children in teaching process with the form of interaction,
Improve the interest of study.
S120: animal information is converted into according to the graphical information obtained.
In the present embodiment, it by converting corresponding animal information for the graphical information of the splicing pattern of building blocks, realizes
From real information to the conversion of virtual information, conversion rate is fast, and high-efficient, processor workload is small, extend processor
Service life.
Referring to Fig. 2, step S110 further includes following sub-step:
S111: the image information of projection screen is obtained.
In the present embodiment, the graphical information of projection screen is obtained by camera, is carried out by camera to information
It obtains, it is thus only necessary to obtain the profile information of splicing pattern, low to required precision, the purchase cost of camera is low.
S112: image information is subjected to gray proces.
In the present embodiment, by gray proces, the size of file is reduced, accelerates subsequent processing speed, while also reducing
The occupancy of memory, improves the service life of hardware.
S113: the image information after gray proces is subjected to inverse and handles to obtain graphical information.
Referring to Fig. 3, step S120 includes following sub-step:
S121: judge the distance of closest approach between the two neighboring building blocks obtained.
In the present embodiment, by taking the distance between point, determined, operand is small, and arithmetic speed is fast.
S122: when the distance of closest approach is less than pre-determined distance, then the graphical information of two adjacent building blocks belongs to same dynamic
Object composed pattern.
S123: animal composed pattern is compared with the composed pattern prestored.
S124: animal information is converted by animal composed pattern according to structure is compared.
In the present embodiment, the implementation of step S123 are as follows:
Obtain the cognizance code of animal composed pattern, the cognizance code progress of the cognizance code that will acquire and the composed pattern prestored
It compares.Wherein, cognizance code is image away from that is, the marginal point of the figure of animal composed pattern is at a distance from central point;Image away from
For the set of distance.Referring to Fig. 4, marginal point includes, point A, point B, point C, point D, central point is point o, marginal point and central point
Distance be respectively 2,2,2,2, image is away from for (2,2,2,2).By image away from (2,2,2,2) with prestore the image of composed pattern away from
It is compared.By using image away from mode animal composed pattern and preset splicing group are compared, image away from number
Small according to measuring, the requirement to memory is low, moreover, correlation data is small, it is low to the performance requirement of processor, and to a certain degree
On, extend the service life of hardware.
In other embodiments, the cognizance code is coordinate code, i.e., the figure of animal composed pattern is placed in coordinate
It fastens, obtains the coordinate of marginal point;Coordinate code is the set of coordinate.
In other embodiments, the implementation of step S123 can be but be not limited only to, by animal composed pattern and in advance
The composed pattern deposited is overlapped;Calculate the coincidence factor of animal composed pattern with the composed pattern prestored.
Referring to Fig. 5, the embodiment of the invention also provides a kind of intelligent graphic image recognizing and processing equipments.Intelligent graphic figure
As recognition process unit can be used for executing step S110 suitable for obtaining the graphical information of multiple building blocks including acquisition module.
Conversion module can be used for executing step S120 suitable for being converted into animal information according to the graphical information obtained.
Referring to Fig. 6, wherein, the acquisition module includes: image information acquisition submodule, suitable for obtaining the figure of projection screen
As information;Gray proces submodule, suitable for image information is carried out gray proces;Inverse handles submodule, and being suitable for will be at gray scale
Image information after reason carries out inverse and handles to obtain graphical information.
Referring to Fig. 7, wherein, the conversion module includes: Distance Judgment submodule, it is two neighboring suitable for judging to obtain
The distance of closest approach between building blocks;Composed pattern confirms submodule, when being less than pre-determined distance suitable for the distance in closest approach, then phase
The graphical information of two adjacent building blocks belongs to same animal composed pattern;Submodule is compared, suitable for by animal composed pattern and in advance
The composed pattern deposited is compared;Submodule is converted, suitable for converting animal information for animal composed pattern according to comparison structure.
In conclusion the present invention provides a kind of intelligent graphic recognition processing method and device, wherein intelligent graphic
Recognition processing method includes: the graphical information for obtaining multiple building blocks;Animal information is converted into according to the graphical information obtained.
The graphical information of building blocks is obtained by camera, and converts graphical information to the animal information of its representative, to realize reality
The information of object to dummy object is converted.
Taking the above-mentioned ideal embodiment according to the present invention as inspiration, through the above description, relevant staff is complete
Various changes and amendments can be carried out without departing from the scope of the technological thought of the present invention' entirely.The technology of this invention
Property range is not limited to the contents of the specification, it is necessary to which the technical scope thereof is determined according to the scope of the claim.
Claims (10)
1. a kind of intelligent graphic recognition processing method, which is characterized in that the intelligent graphic recognition processing method packet
It includes:
Obtain the graphical information of multiple building blocks;
Animal information is converted into according to the graphical information obtained.
2. intelligent graphic recognition processing method as described in claim 1, which is characterized in that the multiple building blocks of acquisition
The method of graphical information includes:
Obtain the image information of projection screen;
Image information is subjected to gray proces;
Image information after gray proces is carried out inverse to handle to obtain graphical information.
3. intelligent graphic recognition processing method as described in claim 1, which is characterized in that described according to the figure obtained
The method that information is converted into animal information includes:
Judge the distance of closest approach between the two neighboring building blocks obtained;
When the distance of closest approach is less than pre-determined distance, then the graphical information of two adjacent building blocks belongs to same animal spliced map
Case;
Animal composed pattern is compared with the composed pattern prestored;
Animal information is converted by animal composed pattern according to structure is compared.
4. intelligent graphic recognition processing method as claimed in claim 3, which is characterized in that described by animal composed pattern
The method being compared with the composed pattern prestored includes:
Obtain the cognizance code of animal composed pattern;
The cognizance code that will acquire is compared with the cognizance code of the composed pattern prestored.
5. intelligent graphic recognition processing method as claimed in claim 4, which is characterized in that the cognizance code is image
Away from that is,
The marginal point of the figure of animal composed pattern is at a distance from central point;
Image is away from the set for distance.
6. intelligent graphic recognition processing method as claimed in claim 4, which is characterized in that the cognizance code is coordinate
Code, i.e.,
The figure of animal composed pattern is placed on coordinate system, the coordinate of marginal point is obtained;
Coordinate code is the set of coordinate.
7. intelligent graphic recognition processing method as claimed in claim 3, which is characterized in that described by animal composed pattern
The method being compared with the composed pattern prestored includes:
Animal composed pattern is overlapped with the composed pattern prestored;
Calculate the coincidence factor of animal composed pattern with the composed pattern prestored.
8. a kind of intelligent graphic image recognizing and processing equipment characterized by comprising
Module is obtained, suitable for obtaining the graphical information of multiple building blocks;
Conversion module, suitable for being converted into animal information according to the graphical information obtained.
9. intelligent graphic image recognizing and processing equipment as claimed in claim 8, which is characterized in that
The acquisition module includes:
Image information acquisition submodule, suitable for obtaining the image information of projection screen;
Gray proces submodule, suitable for image information is carried out gray proces;
Inverse handles submodule, handles to obtain graphical information suitable for the image information after gray proces is carried out inverse.
10. intelligent graphic image recognizing and processing equipment as claimed in claim 8, which is characterized in that
The conversion module includes:
Distance Judgment submodule, the distance suitable for closest approach between the two neighboring building blocks of judgement acquisition;
Composed pattern confirms submodule, when being less than pre-determined distance suitable for the distance in closest approach, then the figure of two adjacent building blocks
Shape information belongs to same animal composed pattern;
Submodule is compared, suitable for animal composed pattern to be compared with the composed pattern prestored;
Submodule is converted, suitable for converting animal information for animal composed pattern according to comparison structure.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811068158.7A CN109389047A (en) | 2018-09-13 | 2018-09-13 | Intelligent graphic recognition processing method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811068158.7A CN109389047A (en) | 2018-09-13 | 2018-09-13 | Intelligent graphic recognition processing method and device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109389047A true CN109389047A (en) | 2019-02-26 |
Family
ID=65417651
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811068158.7A Pending CN109389047A (en) | 2018-09-13 | 2018-09-13 | Intelligent graphic recognition processing method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109389047A (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN204261317U (en) * | 2014-11-28 | 2015-04-15 | 李景成 | Pad interactive toy |
CN105046213A (en) * | 2015-06-30 | 2015-11-11 | 成都微力互动科技有限公司 | Method for augmenting reality |
CN206400471U (en) * | 2016-07-19 | 2017-08-11 | 西安元智***技术有限责任公司 | A kind of virtual puzzle system based on AR technologies |
US20180089583A1 (en) * | 2016-09-28 | 2018-03-29 | Intel Corporation | Training methods for smart object attributes |
-
2018
- 2018-09-13 CN CN201811068158.7A patent/CN109389047A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN204261317U (en) * | 2014-11-28 | 2015-04-15 | 李景成 | Pad interactive toy |
CN105046213A (en) * | 2015-06-30 | 2015-11-11 | 成都微力互动科技有限公司 | Method for augmenting reality |
CN206400471U (en) * | 2016-07-19 | 2017-08-11 | 西安元智***技术有限责任公司 | A kind of virtual puzzle system based on AR technologies |
US20180089583A1 (en) * | 2016-09-28 | 2018-03-29 | Intel Corporation | Training methods for smart object attributes |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP2023547917A (en) | Image segmentation method, device, equipment and storage medium | |
CN106325509A (en) | Three-dimensional gesture recognition method and system | |
WO2023050650A1 (en) | Animation video generation method and apparatus, and device and storage medium | |
CN104809940B (en) | Projection device and projection method for geometric solid figure | |
WO2023160513A1 (en) | Rendering method and apparatus for 3d material, and device and storage medium | |
CN112561786A (en) | Online live broadcast method and device based on image cartoonization and electronic equipment | |
WO2020253716A1 (en) | Image generation method and device | |
KR20170064026A (en) | The way of a smart education services for 3D astronomical educational services, using virtual reality, augmented reality-based immersive interface | |
WO2023185391A1 (en) | Interactive segmentation model training method, labeling data generation method, and device | |
Ryumin et al. | Automatic detection and recognition of 3D manual gestures for human-machine interaction | |
CN208351776U (en) | A kind of chip circuit tutoring system based on VR virtual reality technology | |
CN110928414A (en) | Three-dimensional virtual-real fusion experimental system | |
CN106293099A (en) | Gesture identification method and system | |
CN114373050A (en) | Chemistry experiment teaching system and method based on HoloLens | |
CN110334620A (en) | Appraisal procedure, device, storage medium and the electronic equipment of quality of instruction | |
Shi et al. | Development of a Unity–VISSIM Co-Simulation Platform to Study Interactive Driving Behavior | |
KR20170020065A (en) | Teaching apparatus, method for child based on image comparison algorithm | |
CN109389047A (en) | Intelligent graphic recognition processing method and device | |
CN117094895A (en) | Image panorama stitching method and system | |
CN104064064A (en) | Teaching assistance system based on multi-mode man-machine interaction technology | |
WO2023065963A1 (en) | Interactive display method and apparatus, electronic device, and storage medium | |
CN106327956B (en) | A kind of Educational toy external member and its card identification method of tinting | |
CN104461008A (en) | Multimedia teaching control system and method | |
JP2024512447A (en) | Data generation method, device and electronic equipment | |
CN114694257A (en) | Multi-user real-time three-dimensional action recognition and evaluation method, device, equipment and medium |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190226 |