Experimentation on the use of chromaticity features, local binary pattern, and discrete cosine transform in colour texture analysis

Authors:
Padmapriya Nammalwar;Ovidiu Ghita;Paul F. Whelan
Affiliations:
School of Electronic Engineering, Dublin City University, Dublin, Ireland;School of Electronic Engineering, Dublin City University, Dublin, Ireland;School of Electronic Engineering, Dublin City University, Dublin, Ireland
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

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Abstract

This paper describes a method for colour texture analysis, which performs segmentation based on colour and texture information. The main goal of this approach is to examine the contribution of chromaticity features in the analysis of texture. Local Binary Pattern and Discrete Cosine Transform are the techniques utilised as a tool to perform feature extraction. Segmentation is carried out based on an unsupervised texture segmentation method. The performance of the method is evaluated using different chromaticity features and also using the ROC curves. The results indicate that the inclusion of colour information improves the segmentation performance.