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Image feature extraction method and device, storage medium and electronic equipment

A technology of image features and extraction methods, applied in instruments, character and pattern recognition, computer components, etc., can solve problems such as undiscovered solutions, differences in feature space similarity and similarity, and incomplete visual perception of target information, etc. , to achieve the effect of increasing richness, enhancing discrimination, and improving image classification

Pending Publication Date: 2021-03-30
SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are also some problems with the shape feature. The target information it reflects is not completely consistent with the human intuitive feeling. In other words, the similarity of the feature space is different from the similarity perceived by the human visual system.
[0005] For the above-mentioned problems existing in related technologies, no effective solution has been found yet

Method used

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  • Image feature extraction method and device, storage medium and electronic equipment
  • Image feature extraction method and device, storage medium and electronic equipment
  • Image feature extraction method and device, storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] The method embodiment provided in Embodiment 1 of the present application may be executed in a server, a computer, or a similar computing device. Take running on the server as an example, figure 1 It is a block diagram of the hardware structure of a server in the embodiment of the present invention. Such as figure 1 As shown, the server 10 may include one or more ( figure 1 Only one is shown in ) processor 102 (processor 102 may include but not limited to processing devices such as microprocessor MCU or programmable logic device FPGA) and memory 104 for storing data. Optionally, the above-mentioned server can also be A transmission device 106 for communication functions and an input and output device 108 are included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and it does not limit the structure of the above server. For example, server 10 may also include figure 1 more or fewer components than sho...

Embodiment 2

[0065] In this embodiment, a device for extracting image features is also provided, which is used to implement the above embodiments and preferred implementation modes, and what has been explained will not be repeated here. As used below, the term "module" may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

[0066] Figure 5 is a structural block diagram of an image feature extraction device according to an embodiment of the present invention, such as Figure 5 As shown, the device includes: a cutting module 50, a computing module 52, and a fusion module 54, wherein,

[0067] The cutting module 50 is used to cut the original image into supervoxels of multiple scales;

[0068] Calculation module 52, is used for calculating the supervo...

Embodiment 3

[0078] An embodiment of the present invention also provides a storage medium, in which a computer program is stored, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.

[0079] Optionally, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:

[0080] S1, cutting the original image into supervoxels of multiple scales;

[0081] S2, calculating super-voxel features for super-voxels of each scale, and obtaining super-voxel features of multiple scales;

[0082] S3. Obtain multi-scale features of the original image based on fusion of super-voxel features of the multiple scales.

[0083] Optionally, in this embodiment, the above-mentioned storage medium may include but not limited to: U disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM) , mobile hard disk, magnet...

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Abstract

The invention discloses an image feature extraction method and device, a storage medium and electronic equipment, and belongs to the field of artificial intelligence. The method comprises the steps that an original image is cut into supervoxels of multiple scales; calculating super-voxel features for the super-voxel of each scale to obtain super-voxel features of multiple scales; and multi-scale features of the original image are obtained based on the multi-scale super voxel feature fusion. According to the invention, the technical problem of low distinction degree of image features in relatedtechnologies is solved, and the effects of image classification, image clustering, image segmentation, target detection and the like based on original images are improved.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular, to an image feature extraction method and device, storage medium, and electronic equipment. Background technique [0002] Among related technologies, the technologies in the field of image processing are continuously updated and developed, and many new models and methods have emerged in various image processing tasks. In each task, the extraction of features plays a decisive role in the subsequent improvement of the effect. There are many basic features used to describe images, such as color histogram in color features, SIFT (scale-invariant feature transformation) in shape features, histogram of oriented gradient (Histogram of Oriented Gradient, HOG) and HAAR (Edge features, linear features, center features and diagonal features, combined feature templates) and other features, local binarization mode (Local Binary Pattern, LBP) and gray level co-occurrence matrix fe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/46G06K9/62
CPCG06V10/467G06V10/267G06V10/40G06F18/253
Inventor 李艺飞王同乐周星杰孙泽懿
Owner SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD