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Image recognition method and device, electronic equipment and storage medium

An image recognition and image technology, applied in the field of image processing, can solve the problems of low robustness and accuracy, and achieve the effect of improving accuracy, robustness and accuracy

Pending Publication Date: 2022-02-18
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present application provides an image recognition method, device, electronic equipment and storage medium to solve the problem of low robustness and low accuracy of image recognition in the prior art

Method used

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  • Image recognition method and device, electronic equipment and storage medium
  • Image recognition method and device, electronic equipment and storage medium
  • Image recognition method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0029] See figure 1 , figure 1 It is a schematic flow chart of an image recognition method provided in the embodiment of this application. The execution subject of the image recognition method in this embodiment is an electronic device, which includes but is not limited to smart phones, tablet computers, desktop computers, servers and other computing devices. Such as figure 1 The image recognition methods shown include:

[0030] In S101, the image to be processed is divided into a preset number of block images; wherein, the image to be processed includes an image to be recognized and a reference image, and the block image corresponding to the image to be recognized is a block image to be recognized, The block image corresponding to the reference image is a reference block image; each block image to be identified has a reference block image corresponding to position information one by one.

[0031] In the embodiment of the present application, the image to be recognized is ...

Embodiment 2

[0157] Figure 5 It shows a schematic structural diagram of an image recognition device provided by the embodiment of the present application. For the convenience of description, only the parts related to the embodiment of the present application are shown:

[0158] The image recognition device includes: a segmentation unit 51 , a feature extraction unit 52 , a similarity weight determination unit 53 , a target similarity determination unit 54 and a recognition result determination unit 55 . in:

[0159] A segmentation unit 51, configured to divide the image to be processed into a preset number of block images; wherein, the image to be processed includes an image to be identified and a reference image, and the block image corresponding to the image to be identified is a block to be identified image, the block image corresponding to the reference image is a reference block image; each block image to be identified has a reference block image corresponding to position informatio...

Embodiment 3

[0180] Figure 6 It is a schematic diagram of an electronic device provided by an embodiment of the present application. Such as Figure 6 As shown, the electronic device 6 of this embodiment includes: a processor 60, a memory 61, and a computer program 62 stored in the memory 61 and operable on the processor 60, such as an image recognition program. When the processor 60 executes the computer program 62, it realizes the steps in the various image method embodiments above, for example figure 1 Steps S101 to S105 are shown. Alternatively, when the processor 60 executes the computer program 62, it realizes the functions of the modules / units in the above-mentioned device embodiments, for example Figure 5 Functions of the division unit 51 to the recognition result determination unit 55 are shown.

[0181] Exemplarily, the computer program 62 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 61 and executed by the process...

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PUM

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Abstract

The invention is suitable for the technical field of image processing, and provides an image recognition method, which comprises the following steps: segmenting a to-be-processed image into a preset number of block images; wherein the to-be-processed image comprises a to-be-recognized image and a reference image; performing feature extraction processing on each block image to obtain block feature information corresponding to each block image; according to the position information of each block image and the corresponding block feature information, determining a similarity weight between the to-be-identified image and the reference image; determining a target similarity between the to-be-recognized image and the reference image according to the feature information of each block and the similarity weight; and determining an identification result of the to-be-identified image according to the target similarity. According to the embodiment of the invention, the robustness and accuracy of image recognition can be improved.

Description

technical field [0001] The present application belongs to the technical field of image processing, and in particular relates to an image recognition method, device, electronic equipment and storage medium. Background technique [0002] As an important field of artificial intelligence, image recognition is widely used in unmanned systems. Generally, the image recognition process includes: collecting an image corresponding to an area currently to be recognized; and determining an image recognition result according to the similarity between the collected image and the pre-stored image in the image library. However, due to the impact of shooting conditions, the robustness and accuracy of current image recognition are low. Contents of the invention [0003] In view of this, embodiments of the present application provide an image recognition method, device, electronic device, and storage medium to solve the problem of low robustness and low accuracy of image recognition in the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/74G06N3/04G06N3/08G06T7/11
CPCG06T7/11G06N3/08G06N3/045G06F18/22
Inventor 许震宇张锲石程俊康宇航任子良
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI