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A Calculation Method of Similarity of Image Local Topological Structure Feature Descriptor

A similarity calculation and feature descriptor technology, applied in the field of image processing, can solve the problem that the degree of contour difference cannot be accurately reflected, and achieve good feature invariance, high accuracy, and good real-time performance

Active Publication Date: 2022-06-17
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

For example, for three equal-length sides whose angles are 0°, 45°, and 90° respectively, the X obtained by calculating the shape context 2 The distance is the same, but in the general sense, it is considered that the 0° side is more similar to the 45° side, and is more different from the 90° side, so this method cannot accurately reflect the degree of contour difference

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  • A Calculation Method of Similarity of Image Local Topological Structure Feature Descriptor
  • A Calculation Method of Similarity of Image Local Topological Structure Feature Descriptor
  • A Calculation Method of Similarity of Image Local Topological Structure Feature Descriptor

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[0035] like figure 1 As shown, the present invention provides a similarity calculation method for the feature descriptor of the local topological structure of an image, and the implementation method is as follows:

[0036] S1. Represent the contour of the image as a set of points S P , and according to the point set midpoint p i The neighborhood point of , obtains the N points closest to the midpoint, and the N points constitute the neighborhood structure of the image;

[0037] S2, obtain the angle value and the distance value between the two points of the neighborhood point and the center point;

[0038] S3. According to the size of the angle value and the distance value, respectively obtain the distance sequence and the angle sequence of the neighborhood point around the center point, and form the feature descriptor of the local topological structure of the image by the distance sequence and the angle sequence;

[0039] S4, when comparing the similarity, obtain the initia...

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Abstract

The present invention proposes a similarity calculation method for image local topological feature descriptors. First, a local topological feature descriptor is proposed. Secondly, when comparing local similarities, based on the characteristics of the descriptor, two A partial order structure finds the correspondence of local structures, and the difference between different local topological structures is quantified by the proposed cost calculation method, so that the similarity of topological structures can be efficiently calculated. Compared with the existing method, the present invention accurately quantifies the difference of the local structure.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a similarity calculation method of a local topological structure feature descriptor of an image. Background technique [0002] The local feature of an image is an image pattern that measures the differences between different regions of the image. Points, edges or small image blocks can be used as local features of the image. Usually, a local image is defined as a small area around the feature center, a local descriptor is generated based on the context information of this area, and then the numerical difference between the descriptors is calculated by a corresponding algorithm to obtain a quantified feature difference. As a powerful tool, local features have been widely used in computer vision systems and many application scenarios. Among them, point features are the most important type of image features due to their good feature invariance and real-time cal...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/44G06V10/75G06K9/62
CPCG06V10/44G06V10/751
Inventor 桑强
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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