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Method and system for classifying texture images on basis of local edge pattern

A texture image and classification method technology, applied in the field of image recognition, can solve the problems of easy loss of local detail edge information, inaccurate classification results, etc., and achieve the effect of rich and robust edge information and accurate classification results.

Inactive Publication Date: 2014-03-26
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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  • Abstract
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Problems solved by technology

[0005] The present invention aims to at least solve the problems existing in the prior art that edge information on local details is easily lost and classification results are inaccurate

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  • Method and system for classifying texture images on basis of local edge pattern
  • Method and system for classifying texture images on basis of local edge pattern
  • Method and system for classifying texture images on basis of local edge pattern

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Embodiment Construction

[0032] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0033] The local edge histogram descriptor is one of the effective tools for texture analysis, and the object of the present invention is to provide a method and system for classifying LEP texture images. The present invention aims to extract local edge pattern information at the pixel level on the basis of the existing local edge histogram description sub-method, and at the same time use multi-resolution ideas and block ideas to further obtain richer and more robust texture information and improve classification Performance.

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Abstract

The invention discloses a method for classifying texture images on the basis of a local edge pattern. The method includes steps of inputting original texture images of the images to be classified; dividing the original texture images into n image blocks; respectively computing local edge pattern texture spectrum features of the original texture images and the n image blocks on the basis of m types of texture primitives with different sizes, and serially connecting the local edge pattern texture spectrum features with one another to obtain overall fusion local edge pattern texture spectrum features of the images to be classified; classifying the images to be classified into categories of training images with the minimum Canberra distances according to the overall fusion local edge pattern texture spectrum features of the images to be classified. Length and width pixels of the size of each texture primitive are even numbers, and the minimum texture primitive contains 2X2 pixels. The invention further discloses a system for classifying the texture images on the basis of the local edge pattern. The method and the system have the advantages that texture information acquired by the method and the system is rich and robust, and the texture image classification accuracy is high.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a texture image classification method and system based on local edge patterns. Background technique [0002] Texture analysis is one of the important topics in image processing and pattern recognition, and plays a vital role in target tracking, image recognition, image understanding, image retrieval and other application fields. [0003] The histogram feature is one of the general and effective tools for texture analysis or image representation. It is invariant to the translation and rotation of the image, and the normalized histogram feature is also scale-invariant. The edge information in the image is an important feature of the image content. Human vision is extremely sensitive to the edge of the image. This phenomenon has important implications for the research in the field of machine vision and pattern recognition. If the edge information of the image can be accura...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/66G06K9/46
Inventor 王瑜蔡强
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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