Topological tree based extraction method of image texture element features of local shape mode

Abstract

The invention relates to the technical field of image processing, in particular to an extraction method of image texture element feature a local shape mode based on a topological tree. The method comprises the steps of: carrying out Level Set layering on an image I according to a pixel gray value v, structuring a topological tree structure T, structuring an encoded concentric circle template, scaling node shapes to be equivalent to the size of the concentric circle template, overlapping the node shapes subjected to scaling with the concentric circle template and carrying out binary coding on the node shapes subjected to scaling with the overlapping relationship of each sector fnm, counting a frequency column diagram based on coded values of all the node shapes in all the M sectors of each circle and then splicing the frequency column diagrams of the N circles, and adding all the texture feature descriptions of the shapes subjected to coding in the image topological tree. The invention can avoid the loss of texture information in the process of filtering and transformation, carry out description on the image texture more comprehensively and completely, improve the accuracy of image processing applications based on the texture element features, such as retrieval, classification, partitioning and the like,.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image texture primitive feature extraction method based on a local shape mode of a topology tree. Background technique [0002] In computer vision and image processing, image texture analysis is a basic problem. However, so far, people have not formed a unified understanding of the precise definition of texture. It is generally believed that texture is the image grayscale or color in space. changes or repetitions. The gray level distribution in the texture image generally has some regularity, and it also has some statistical characteristics for random textures. There is currently the following consensus on textures: [0003] a) The texture is represented by a certain local sequence that is continuously repeated in a larger area of ​​the sequence; [0004] b) Texture exists as the basic constituent unit that causes visual perception, that is, texture primitives; ...

AI Technical Summary

Problems solved by technology

In the past, texture analysis lacked effective analysis of textures at different scales. Different scales here refer to the same image, and texture analysis is performed on different scales.

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