CN108334852A - A kind of image analysis identifying system and image analysis recognition methods - Google Patents
A kind of image analysis identifying system and image analysis recognition methods Download PDFInfo
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- CN108334852A CN108334852A CN201810145504.0A CN201810145504A CN108334852A CN 108334852 A CN108334852 A CN 108334852A CN 201810145504 A CN201810145504 A CN 201810145504A CN 108334852 A CN108334852 A CN 108334852A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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Abstract
The invention discloses a kind of image analysis identifying system and image analysis recognition methods, are related to image identification technical field.Including：Image acquisition unit, character image data library, signature analysis extraction unit, image data base, contrast images acquiring unit, Characteristic Contrast analytic unit, image Fuzzy Processing unit export display unit；Characteristic Contrast analytic unit includes characteristic extracting module, characteristics analysis module and comparative analysis module；It includes the first display module, the second display module and third display module to export display unit.The present invention carries out feature extraction by the picture to acquisition and obtains comparison picture, realizes the discriminance analysis to Target Photo.
Description
Technical field
The invention belongs to image identification technical fields, know more particularly to a kind of image analysis identifying system and image analysis
Other method.
Background technology
Image recognition is generally referred to by the way that target image to be identified to be compared with known image, to confirm target figure
Seem no to be matched with known image.Being widely used for image recognition is general, for example, tracked for runaway convict in safety-security area etc.,
Medical field is used to judge the generation etc. of illness.
In the prior art to the identification of target image, especially to the identification of face, the method mainly used is to pass through list
One image capture device, such as video monitoring camera, are acquired the target image in specific region, pass through internet
Image identification system is transmitted to identify the target image, and recognition result carried out to feed back to associated user.
But with the diversification of communication mode, image acquiring way has been not limited to fixed monitoring camera, and
The mobile devices such as mobile terminal much also all have the function of shooting image.
Invention content
The purpose of the present invention is to provide a kind of image analysis identifying system and image analysis recognition methods, by obtaining
Picture carry out feature extraction and obtaining comparison picture；And feature extraction and feature point are carried out to the picture of acquisition and comparison picture
Analysis, realizes the discriminance analysis to Target Photo.
In order to solve the above technical problems, the present invention is achieved by the following technical solutions：
The present invention is a kind of image analysis identifying system, including：
Image acquisition unit：For by carrying out picture download from network or by photographing device take pictures to obtain image
Picture；
Character image data library：For storing characteristic image information；
Signature analysis extraction unit：For extracting characteristic image to the image of acquisition according to character image data library；
Image data base：For storing contrast images data information；
Contrast images acquiring unit：For obtaining several comparison diagrams from image data base according to the characteristic image of extraction
Picture；
Characteristic Contrast analytic unit：For carrying out Characteristic Contrast analysis with contrast images to obtaining image graphic, and calculate
Analysis obtains similarity X；
Image Fuzzy Processing unit：For carrying out intelligent image Fuzzy Processing to obtaining image graphic and contrast images；
Export display unit：For what is analyzed acquisition image graphic and contrast images and Characteristic Contrast analytic unit
As a result output is carried out to show.
Further, the Characteristic Contrast analytic unit includes：
Characteristic extracting module：For carrying out contrast images picture by character image data library to obtaining contrast images picture
Feature extraction；
Characteristics analysis module：It is special for being carried out to the characteristic image and contrast images picture feature image that obtain image graphic
Sign analysis is to obtain the distribution of color, structure and texture structure of image graphic characteristic image；
Comparative analysis module：For carrying out the signature analysis result for obtaining image graphic and contrast images picture to score
Analysis is to obtain the similarity obtained between image graphic and contrast images picture.
Further, the distribution of color, structure of the characteristic image and texture structure weight shared in comparative analysis
It respectively is B1, B2, B3；The B1 is 0.2-0.35, and the B2 is 0.2-0.35, and the B3 is 0.3-0.5.
Further, the Characteristic Contrast analytic unit is also associated with a parameter database, the parameter database memory
Contain the parameter of the shared weight of the distribution of color of characteristic image, structure and texture structure.
Further, the output display unit includes：
First display module：It is aobvious that output is carried out for the image graphic to the acquisition through image Fuzzy Processing cell processing
Show；
Second display module：For contrast images picture of the loop play through image Fuzzy Processing cell processing；
Third display module：For showing that Characteristic Contrast analytic unit analyzes the highest similarity information and highest that obtain
Contrast images picture corresponding to similarity.
Further, the quantity of the contrast images is 5-10.
A kind of image analysis recognition methods of image analysis identifying system, includes the following steps：
Step 1, image acquisition unit by carrying out picture download or carrying out acquisition figure of taking pictures by photographing device from network
As picture；
Step 2, signature analysis extraction unit extract characteristic image according to character image data library to the image of acquisition；
Step 3, contrast images acquiring unit obtain 5-10 comparison diagrams according to the characteristic image of extraction from image data base
As picture；
Step 4, Characteristic Contrast analytic unit by Characteristic Contrast analytic unit to obtain image graphic and contrast images into
Row Characteristic Contrast is analyzed, and is calculated analysis and obtained similarity X；
Step 5, image Fuzzy Processing unit carry out intelligent image Fuzzy Processing to obtaining image graphic and contrast images；
Step 6 is divided by exporting display unit obtaining image graphic and contrast images and Characteristic Contrast analytic unit
The result of analysis carries out output and shows.
Further, the distribution of color, structure and texture structure of characteristic image successively are carried out to score in the step 4
Analysis obtains similarity parameter A1, A2, A3, the similarity X=A1*B1+A2*B2+A3*B3.
Further, display unit is exported in the step 6 to show the display of contrast images using cycle, display interval
It is 2-5 seconds.
The invention has the advantages that：
The present invention carries out feature extraction by the picture to acquisition and obtains comparison picture, realizes the knowledge to Target Photo
It does not analyze；And feature extraction and signature analysis are carried out to the picture of acquisition and comparison picture, it improves to Target Photo identification point
The accuracy of analysis and comprehensive；Are carried out by output and is shown for analysis result, Target Photo and comparison picture by exporting display unit,
Improve the intuitive of recognition result.
Certainly, it implements any of the products of the present invention and does not necessarily require achieving all the advantages described above at the same time.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of image analysis identifying system structural schematic diagram of the present invention；
Fig. 2 is a kind of image analysis recognition methods flow chart of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained all other without creative efforts
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, the present invention is a kind of image analysis identifying system, including：
Image acquisition unit：For by carrying out picture download from network or by photographing device take pictures to obtain image
Picture；
Character image data library：For storing characteristic image information；
Signature analysis extraction unit：For extracting characteristic image to the image of acquisition according to character image data library；
Image data base：For storing contrast images data information；
Contrast images acquiring unit：For obtaining several comparison diagrams from image data base according to the characteristic image of extraction
Picture；
Characteristic Contrast analytic unit：For carrying out Characteristic Contrast analysis with contrast images to obtaining image graphic, and calculate
Analysis obtains similarity X；
Image Fuzzy Processing unit：For carrying out intelligent image Fuzzy Processing to obtaining image graphic and contrast images；
Export display unit：For what is analyzed acquisition image graphic and contrast images and Characteristic Contrast analytic unit
As a result output is carried out to show.
Wherein, Characteristic Contrast analytic unit includes：
Characteristic extracting module：For carrying out contrast images picture by character image data library to obtaining contrast images picture
Feature extraction；
Characteristics analysis module：It is special for being carried out to the characteristic image and contrast images picture feature image that obtain image graphic
Sign analysis is to obtain the distribution of color, structure and texture structure of image graphic characteristic image；
Comparative analysis module：For carrying out the signature analysis result for obtaining image graphic and contrast images picture to score
Analysis is to obtain the similarity obtained between image graphic and contrast images picture.
Wherein, the distribution of color, structure of characteristic image and texture structure weight shared in comparative analysis are distinguished successively
For B1, B2, B3；B1 is 0.3, B2 0.3, B3 0.4.
Wherein, Characteristic Contrast analytic unit is also associated with a parameter database, and characteristic image is stored in parameter database
Distribution of color, the parameter of the shared weight of structure and texture structure.
Wherein, output display unit includes：
First display module：It is aobvious that output is carried out for the image graphic to the acquisition through image Fuzzy Processing cell processing
Show；
Second display module：For contrast images picture of the loop play through image Fuzzy Processing cell processing；
Third display module：For showing that Characteristic Contrast analytic unit analyzes the highest similarity information and highest that obtain
Contrast images picture corresponding to similarity.
Wherein, the quantity of contrast images is 5-10.
It please refers to shown in Fig. 2, a kind of image analysis recognition methods of image analysis identifying system includes the following steps：
Step 1, image acquisition unit by carrying out picture download or carrying out acquisition figure of taking pictures by photographing device from network
As picture；
Step 2, signature analysis extraction unit extract characteristic image according to character image data library to the image of acquisition；
Step 3, contrast images acquiring unit obtain 5-10 comparison diagrams according to the characteristic image of extraction from image data base
As picture；
Step 4, Characteristic Contrast analytic unit by Characteristic Contrast analytic unit to obtain image graphic and contrast images into
Row Characteristic Contrast is analyzed, and is calculated analysis and obtained similarity X；
Step 5, image Fuzzy Processing unit carry out intelligent image Fuzzy Processing to obtaining image graphic and contrast images；
Step 6 is divided by exporting display unit obtaining image graphic and contrast images and Characteristic Contrast analytic unit
The result of analysis carries out output and shows.
Wherein, acquisition phase is compared and analyzed to the distribution of color, structure and texture structure of characteristic image successively in step 4
Like degree parameter A1, A2, A3, similarity X=A1*B1+A2*B2+A3*B3.
Wherein, display unit is exported in step 6 to show the display of contrast images using cycle, is divided between display 2-5 seconds.
It is worth noting that, in above system embodiment, included each unit is only drawn according to function logic
Point, but it is not limited to above-mentioned division, as long as corresponding function can be realized；In addition, each functional unit is specific
Title is also only to facilitate mutually distinguish, the protection domain being not intended to restrict the invention.
In addition, one of ordinary skill in the art will appreciate that realizing all or part of step in the various embodiments described above method
It is that relevant hardware can be instructed to complete by program, corresponding program can be stored in a computer-readable storage and be situated between
In matter, the storage medium, such as ROM/RAM, disk or CD.Present invention disclosed above preferred embodiment is only intended to
Help illustrates the present invention.The detailed description of the preferred embodiment is not exhaustive, does not also limit the tool that the invention is only described
Body embodiment.Obviously, it according to the content of this specification, can make many modifications and variations.This specification is chosen and is specifically retouched
These embodiments are stated, are in order to preferably explain the principle of the present invention and practical application, to make technical field technology people
Member can be best understood by and utilize the present invention.The invention is limited only by the claims and the full scope thereof and equivalents thereof.
Claims (9)
1. a kind of image analysis identifying system, which is characterized in that including：
Image acquisition unit：For by carrying out picture download from network or by photographing device take pictures to obtain image graph
Piece；
Character image data library：For storing characteristic image information；
Signature analysis extraction unit：For extracting characteristic image to the image of acquisition according to character image data library；
Image data base：For storing contrast images data information；
Contrast images acquiring unit：For obtaining several contrast images from image data base according to the characteristic image of extraction；
Characteristic Contrast analytic unit：For carrying out Characteristic Contrast analysis with contrast images to obtaining image graphic, and calculate analysis
Obtain similarity X；
Image Fuzzy Processing unit：For carrying out intelligent image Fuzzy Processing to obtaining image graphic and contrast images；
Export display unit：For the result to obtaining image graphic and contrast images and the analysis of Characteristic Contrast analytic unit
Output is carried out to show.
2. a kind of image analysis identifying system according to claim 1, which is characterized in that the Characteristic Contrast analytic unit
Including：
Characteristic extracting module：For carrying out contrast images picture feature by character image data library to obtaining contrast images picture
Extraction；
Characteristics analysis module：For carrying out feature point to the characteristic image and contrast images picture feature image that obtain image graphic
Analysis is to obtain the distribution of color, structure and texture structure of image graphic characteristic image；
Comparative analysis module：For to the signature analysis result for obtaining image graphic and contrast images picture compare and analyze with
Obtain the similarity between image graphic and contrast images picture.
3. a kind of image analysis identifying system according to claim 2, which is characterized in that the color of the characteristic image point
Cloth, structure and texture structure weight shared in comparative analysis respectively are B1, B2, B3；The B1 is 0.2-0.35, institute
It is 0.2-0.35 to state B2, and the B3 is 0.3-0.5.
4. a kind of image analysis identifying system according to claim 1, which is characterized in that the Characteristic Contrast analytic unit
It is also associated with a parameter database, the distribution of color, structure and texture structure of characteristic image are stored in the parameter database
Shared weight parameter.
5. a kind of image analysis identifying system according to claim 1, which is characterized in that the output display unit packet
It includes：
First display module：Output is carried out for the image graphic to the acquisition through image Fuzzy Processing cell processing to show；
Second display module：For contrast images picture of the loop play through image Fuzzy Processing cell processing；
Third display module：For showing that Characteristic Contrast analytic unit analyzes the highest similarity information obtained and highest is similar
The corresponding contrast images picture of degree.
6. a kind of image analysis identifying system according to claim 1, which is characterized in that the quantity of the contrast images is
5-10.
7. a kind of image analysis recognition methods of image analysis identifying system as described in claim 1-6 is any one, feature
It is, includes the following steps：
Step 1, image acquisition unit obtain image graph by carrying out picture download from network or by photographing device take pictures
Piece；
Step 2, signature analysis extraction unit extract characteristic image according to character image data library to the image of acquisition；
Step 3, contrast images acquiring unit obtain 5-10 contrast images figures according to the characteristic image of extraction from image data base
Piece；
Step 4, Characteristic Contrast analytic unit carry out spy by Characteristic Contrast analytic unit to obtaining image graphic and contrast images
Comparative analysis is levied, and calculates analysis and obtains similarity X；
Step 5, image Fuzzy Processing unit carry out intelligent image Fuzzy Processing to obtaining image graphic and contrast images；
Step 6, by exporting display unit to obtaining image graphic and contrast images and the analysis of Characteristic Contrast analytic unit
As a result output is carried out to show.
8. a kind of image analysis recognition methods of image analysis identifying system according to claim 7, which is characterized in that institute
State distribution of color, structure and texture structure in step 4 to characteristic image successively compare and analyze obtain similarity parameter A1,
A2, A3, the similarity X=A1*B1+A2*B2+A3*B3.
9. a kind of image analysis recognition methods of image analysis identifying system according to claim 7, which is characterized in that institute
The display for exporting display unit in step 6 to contrast images is stated using cycle display, is divided between display 2-5 seconds.
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| CN201810145504.0A CN108334852A (en) | 2018-02-12 | 2018-02-12 | A kind of image analysis identifying system and image analysis recognition methods |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110046596A (en) * | 2019-04-23 | 2019-07-23 | 王雪燕 | Method, mobile terminal and the readable storage medium storing program for executing of a kind of image moduleization processing and more image module self-defined combinations |
| CN112183256A (en) * | 2020-09-16 | 2021-01-05 | 广东中鹏热能科技有限公司 | Method for identifying opening degree of single-photo multi-gate valve based on graphic image identification technology |
| CN112183516A (en) * | 2020-09-22 | 2021-01-05 | 广东中鹏热能科技有限公司 | Method for reading single-photo multi-region maximum temperature based on graphic image recognition technology |
-
2018
- 2018-02-12 CN CN201810145504.0A patent/CN108334852A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110046596A (en) * | 2019-04-23 | 2019-07-23 | 王雪燕 | Method, mobile terminal and the readable storage medium storing program for executing of a kind of image moduleization processing and more image module self-defined combinations |
| CN110046596B (en) * | 2019-04-23 | 2021-06-15 | 王雪燕 | Image modularization processing and multi-image module custom combination method, mobile terminal and readable storage medium |
| CN112183256A (en) * | 2020-09-16 | 2021-01-05 | 广东中鹏热能科技有限公司 | Method for identifying opening degree of single-photo multi-gate valve based on graphic image identification technology |
| CN112183516A (en) * | 2020-09-22 | 2021-01-05 | 广东中鹏热能科技有限公司 | Method for reading single-photo multi-region maximum temperature based on graphic image recognition technology |
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