Image feature extraction and descriptor acquisition method and device, and storage medium

An image feature extraction and acquisition method technology, applied in the field of image processing, can solve the problems such as the inability to retrieve the same or similar images, incomplete image comparability conditions of measurement units, etc., so as to improve the recall rate and precision rate, image The feature information description is comprehensive and more accurate, and the effect of making up for missed detection defects

Pending Publication Date: 2021-10-26
徐庆 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can obtain good image shape feature descriptors, effectively solve the problem of describing the image shape feature points well, and overcome the traditional method of image shape feature descriptor acquisition technology that may cause the unification of image shape feature point measurement units or the incomparability of two images. Complete Defects that render partially identical or similar images unretrievable

Method used

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  • Image feature extraction and descriptor acquisition method and device, and storage medium
  • Image feature extraction and descriptor acquisition method and device, and storage medium
  • Image feature extraction and descriptor acquisition method and device, and storage medium

Examples

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example 1

[0195] Example 1: Assuming that the number of combined parts of the image is 2, then the combined descriptor of the average number of line segments in the combined part of the image is: 0370102;

[0196] Among them, the first three digits represent the total number of line segments in all subdivided areas of the effective area image, the fourth and fifth digits represent the average number of line segments in the first combined partial area, and the sixth and seventh digits represent the number of line segments in the second combined partial area. Average number of segments.

example 2

[0197] Example 2: Assuming that the number of combined parts of the image is 3, then the combined descriptor of the average number of line segments in the combined parts of the image is: 037010102;

[0198] Among them, the first three digits represent the total number of line segments in all subdivided areas of the effective area image, the fourth and fifth digits represent the average number of line segments in the first combined partial area, and the sixth and seventh digits represent the number of line segments in the second combined partial area. The average number of line segments, the eighth and ninth digits represent the average number of line segments in the third combined part area.

[0199] and so on.

[0200] Application example of the combination descriptor of the number of main line segments in the combined part of the image:

example 3

[0201] Example 3: Assuming that the number of combined parts of the image is 3, then the combined descriptor of the number of main line segments in the combined part of the image is: 037010102;

[0202] Among them, the first three digits represent the total number of line segments in all subdivided areas of the effective area image of the image to be processed, the fourth and fifth digits represent the number of main line segments in the first combined partial area, and the sixth and seventh digits represent the second The number of main line segments in the combined partial area, the eighth and ninth digits indicate the number of main line segments in the third combined partial area.

[0203] and so on.

[0204] An example of the application of the average line length value combined descriptor of the combined part of the image:

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Abstract

An image feature extraction and descriptor acquisition method comprises the following steps: step A, extracting an effective area image and pixel point color value data of a to-be-processed picture, and performing color block segmentation to acquire image data of the effective area image; step B, performing multi-equal-part subdivision on the effective area image to obtain subdivided areas of the effective area image; step C, carrying out connected domain confirmation, line segment identification and line length measurement on the subdivided area so as to acquire image feature data of the subdivided area; and step D, carrying out statistics and combination processing on the image feature data of the subdivided regions to obtain image feature descriptors. The image feature descriptors are adopted to describe the image features, so that the stability problem of the description of the commonality features and the distinguishing features of the same or similar images can be effectively solved, and the defect that the same or similar images may be missed in image retrieval in a traditional image feature extraction technical method is overcome; and the matching effect of the same or similar images in image recognition and retrieval is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image feature extraction and descriptor acquisition method, device and storage medium. Background technique [0002] Image descriptors are generally used to describe the feature points in the image. A good set of descriptors should have distinction and commonality. Distinction means that the descriptor can distinguish one image from another. come out, so that the descriptor is unique to the image; commonality means that the descriptor can reflect an image and other identical or similar images with the same feature points, so that the descriptor has common features for the same or similar images. feature points to achieve good matching of the same and similar images. [0003] However, the same or similar image matching needs to be based on certain conditions, such as: the unity of the measurement unit of the feature points, and the comparability of the two ima...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/187G06K9/62
CPCG06T7/0002G06T7/11G06T7/187G06T2207/10004G06T2207/20021G06F18/214
Inventor徐庆林丹燕
Owner徐庆