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Improving Texture Recognition using Combined GLCM and Wavelet Features
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 29 - Number 10 |
| Year of Publication: 2011 |
| Authors: Ranjan Parekh |
10.5120/3597-4991
|
Ranjan Parekh . Improving Texture Recognition using Combined GLCM and Wavelet Features. International Journal of Computer Applications. 29, 10 ( September 2011), 41-46. DOI=10.5120/3597-4991
Abstract
Texture is an important perceptual property of images based on which image content can be characterized and searched for in a Content Based Search and Retrieval (CBSR) system. This paper investigates techniques for improving texture recognition accuracy by using a set of Wavelet Decomposition Matrices (WDM) in conjunction with Grey Level Co-occurrence Matrices (GLCM). The texture image is decomposed at 3 levels using a 2D Haar Wavelet and a coefficient computed from the decomposition matrices is combined with features derived from a set of normalized symmetrical GLCMs computed along four directions, to provide improved accuracy. The proposed scheme is tested on a set of 13 textures derived from the Brodatz database and is seen to provide accuracies of the order of 90%.
References
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