Color Texture Classification with Color Histograms and Local Binary Patterns

The approaches proposed for color texture discrimination can be divided into two types: 1) color and texture information are processed separately, and 2) spatial interactions of pixels both within and between color bands are considered. In this paper, we briefly review recent research and propose an approach based on separate processing of complementary color and pattern information. Color histograms contain very discriminative color information, while the distributions of Local Binary Patterns are used to provide robust pattern-related information.

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