Shortest Paths in HSI Space for Color Texture Classification - Intelligence Science II Third IFIP TC 12 International Conference, ICIS 2018 Access content directly
Conference Papers Year : 2018

Shortest Paths in HSI Space for Color Texture Classification


Color texture representation is an important step in the task of texture classification. Shortest paths was used to extract color texture features from RGB and HSV color spaces. In this paper, we propose to use shortest paths in the HSI space to build a texture representation for classification. In particular, two undirected graphs are used to model the H channel and the S and I channels respectively in order to represent a color texture image. Moreover, the shortest paths is constructed by using four pairs of pixels according to different scales and directions of the texture image. Experimental results on colored Brodatz and USPTex databases reveal that our proposed method is effective, and the highest classification accuracy rate is 96.93$$\%$$ in the Brodatz database.
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Dates and versions

hal-02118803 , version 1 (03-05-2019)





Mingxin Jin, Yongsheng Dong, Lintao Zheng, Lingfei Liang, Tianyu Wang, et al.. Shortest Paths in HSI Space for Color Texture Classification. 2nd International Conference on Intelligence Science (ICIS), Nov 2018, Beijing, China. pp.273-281, ⟨10.1007/978-3-030-01313-4_29⟩. ⟨hal-02118803⟩
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