Nonparametric Texture Analysis with Simple Spatial Operators
نویسندگان
چکیده
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 features based on distributions of local spatial patterns and contrast play very important roles in texture discrimintation.
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