Skip to Main content Skip to Navigation
Conference papers

Shortest Paths in HSI Space for Color Texture Classification

Abstract : 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.
Complete list of metadatas

Cited literature [24 references]  Display  Hide  Download

https://hal.inria.fr/hal-02118803
Contributor : Hal Ifip <>
Submitted on : Friday, May 3, 2019 - 1:24:46 PM
Last modification on : Friday, May 3, 2019 - 3:47:03 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2021-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

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⟩

Share

Metrics

Record views

26