Feature Fusion Technique for Colour Texture Classification System Based on Gray Level Co-occurrence Matrix
- 1 Dr. M.G.R Educational and Research Institute University, India
- 2 , India
Copyright: © 2020 A. Suresh and K. L. Shunmuganathan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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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- Colour Texture Classification
- Gray Level Co-Occurrence Matrix
- VisTex Album
- Nearest Neighbor Classifier