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• W2795417921 abstract "In this paper we propose a new method to analyze the color texture image based on inter intensity and color channel co-occurrence histogram, which characterizes the color texture more effectively. This corresponds to the relationships between intensity and color channel along with their neighboring pixels. The proposed color texture descriptor is experimented on VisTex texture dataset. The results are analyzed and compared with Local Binary Patterns (LBP) method and Histogram ratio method. The computational intelligence-based approach, namely, fuzzy classification is used for texture classification. The proposed descriptors achieve better classification results when compared with other two methods. The proposed color texture descriptors are sufficiently robust and precise to distinguish images of different textures even if the sample size is small. The results suggest that the proposed color texture descriptors have the potential for use in real-world applications involving recognition of patterns in digital images." @default.
• W2795417921 created "2018-04-13" @default.
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• W2795417921 date "2018-01-01" @default.
• W2795417921 modified "2023-10-06" @default.
• W2795417921 title "Inter Intensity and Color Channel Co-occurrence Histogram for Color Texture Classification" @default.
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• W2795417921 doi "https://doi.org/10.1007/978-981-10-9059-2_17" @default.
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