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Similarity calculation method for image local topological structure feature descriptors

A similarity calculation and feature descriptor technology, applied in the field of image processing, can solve the problem of inability to accurately reflect the degree of contour difference, and achieve the effects of good feature invariance, accurate quantification, and high accuracy

Active Publication Date: 2020-07-10
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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  • Similarity calculation method for image local topological structure feature descriptors
  • Similarity calculation method for image local topological structure feature descriptors
  • Similarity calculation method for image local topological structure feature descriptors

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

[0036] S1. Represent the image contour as a set of points S P , and according to the point p in the set of points i Neighborhood points to obtain the nearest N points from the midpoint, and form the neighborhood structure of the image by the N points;

[0037] S2. Obtain an angle value and a 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 points around the central point, and form the feature descriptor of the local topology of the image by the distance sequence and the angle sequence;

[0039] S4. When comparing the similarity, obtain the initial corresponding relationship of the...

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Abstract

The invention provides a similarity calculation method of image local topological structure feature descriptors. The algorithm comprises the steps: firstly, providing a local topological structure feature descriptor; secondly, when the local similarities are compared, based on the characteristics of the descriptor, finding the corresponding relation of the local structures through the two partialorder structures, and quantifying the difference between different local topological structures through the proposed cost calculation method, so the similarity of the topological structures can be effectively calculated. Compared with an existing method, the method has the advantage that the difference of local structures is accurately quantified.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for calculating similarity of image local topological structure feature descriptors. Background technique [0002] The local feature of the image is an image mode, which measures the difference between different regions of the image. Points, edges or small image blocks can be used as the local feature 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 the corresponding algorithm, so as to obtain the quantified feature difference. As a powerful tool, local features have been widely used in computer vision systems and multiple application scenarios. Among them, point features are the most important type of image features due to their good feature invariance and...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/44G06V10/751
Inventor 桑强
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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