Performance evaluation of wavelet scattering network in image texture classification in various color spaces

TL;DR

This paper evaluates the effectiveness of wavelet scattering networks in classifying image textures across different color spaces, highlighting the superior performance of opponent RGB space.

Contribution

It introduces an evaluation of wavelet scattering networks in various color spaces for texture classification, recommending opponent RGB for best results.

Findings

Opponent RGB wavelet scattering network outperforms other color spaces.

Experimental results on KTH_TIPS_COL database validate the effectiveness.

Opponent RGB space is recommended for color texture classification.

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.