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Experimentation on the Use of Chromaticity Features, Local Binary Pattern, and Discrete Cosine Transform in Colour Texture Analysis

  • Padmapriya Nammalwar
  • Ovidiu Ghita
  • Paul F. Whelan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

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.

Keywords

Discrete Cosine Transform Colour Space Segmentation Result Local Binary Pattern Texture Segmentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Padmapriya Nammalwar
    • 1
  • Ovidiu Ghita
    • 1
  • Paul F. Whelan
    • 1
  1. 1.Vision Systems Group, School of Electronic EngineeringDublin City UniversityDublin 9Ireland

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