Research Article Open Access

Feature Fusion Technique for Colour Texture Classification System Based on Gray Level Co-occurrence Matrix

A. Suresh1 and K. L. Shunmuganathan2
  • 1 Dr. M.G.R Educational and Research Institute University, India
  • 2 , India
Journal of Computer Science
Volume 8 No. 12, 2012, 2106-2111

DOI: https://doi.org/10.3844/jcssp.2012.2106.2111

Submitted On: 3 December 2012 Published On: 5 January 2013

How to Cite: Suresh, A. & Shunmuganathan, K. L. (2012). Feature Fusion Technique for Colour Texture Classification System Based on Gray Level Co-occurrence Matrix. Journal of Computer Science, 8(12), 2106-2111. https://doi.org/10.3844/jcssp.2012.2106.2111

Abstract

In this study, an efficient feature fusion based technique for the classification of colour texture images in VisTex album is presented. Gray Level Co-occurrence Matrix (GLCM) and its associated texture features contrast, correlation, energy and homogeneity are used in the proposed approach. The proposed GLCM texture features are obtained from the original colour texture as well as the first non singleton dimension of the same image. These features are fused at feature level to classify the colour texture image using nearest neighbor classifier. The results demonstrate that the proposed fusion of difference image GLCM features is much more efficient than the original GLCM features.

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Keywords

  • Colour Texture Classification
  • Gray Level Co-Occurrence Matrix
  • VisTex Album
  • Nearest Neighbor Classifier