Performance evaluation of wavelet scattering network in image texture classification in various color spaces
Computer Vision and Pattern Recognition
2014-07-25 v1
Abstract
Texture plays an important role in many image analysis applications. In this paper, we give a performance evaluation of color texture classification by performing wavelet scattering network in various color spaces. Experimental results on the KTH_TIPS_COL database show that opponent RGB based wavelet scattering network outperforms other color spaces. Therefore, when dealing with the problem of color texture classification, opponent RGB based wavelet scattering network is recommended.
Keywords
Cite
@article{arxiv.1407.6423,
title = {Performance evaluation of wavelet scattering network in image texture classification in various color spaces},
author = {Jiasong Wu and Longyu Jiang and Xu Han and Lotfi Senhadji and Huazhong Shu},
journal= {arXiv preprint arXiv:1407.6423},
year = {2014}
}
Comments
6 pages, 4 figures, 2 tables