Nonparametric Texture Analysis with Complementary Spatial Operators
نویسنده
چکیده
Recently, we have developed a nonparametric approach to texture analysis, in which the distributions of simple texture measures based on local binary patterns and signed gray level differences are used to provide complementary information about the strurctural and stochastic properties of image texture. Very good performance has been obtained in various texture classification and segmentation problems. This paper overviews our approach and discusses reasons for its efficiency.
منابع مشابه
Nonparametric Texture Analysis with Simple Spatial Operators
Recently, we have developed a nonparametric approach to texture analysis based on simple spatial operators like local binary patterns and signed gray level differences. Very good performance has been obtained in various texture classification and segmentation problems. This paper overviews our approach and presents examples to demonstrate its efficiency. Our results suggest that complementary f...
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