Image texture feature extraction method based on nested triangular structure
A triangular structure and image texture technology, applied in image data processing, image analysis, instruments, etc., can solve the problems of incomplete texture image information, missing image information, etc., to reduce the amount of calculation of statistical features, less sampling points, and good stability sexual effect
Active Publication Date: 2017-08-18
EAST CHINA UNIV OF TECH +1
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Abstract
The invention discloses an image texture feature extraction method based on a nested triangular structure, relating to a brand new gray different triangle matrix (GDTM). By extracting the gray difference of the nested triangle vertexes of the image at different positions and angles, counting the frequency of the gray difference, and performing normalization calculation to obtain a triangle matrix. The GDTM can reflect the distribution features of the brightness change, can reflect the comprehensive information of the image in different directions and different interval brightness changes, and is the image brightness change second-order statistic characteristic based on a triangle geometry structure. The texture characteristic quantity calculated on the basis of the invention can visually and effectively represent the image texture condition, compared with the conventional texture statistic feature extraction method such as the grey level cooccurrence matrix, the image texture feature extraction method provided is less in calculated quantity, is resistant to illumination change and RST change, can improve the description effect of large textures, and is an effective image texture feature extraction method.
Application Domain
Image analysis
Technology Topic
Feature extractionBrightness perception +3
Image
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