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Improving Texture Recognition using Combined GLCM and Wavelet Features

by Ranjan Parekh
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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

@article{ 10.5120/3597-4991,
author = { Ranjan Parekh },
title = { Improving Texture Recognition using Combined GLCM and Wavelet Features },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 10 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 41-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number10/3597-4991/ },
doi = { 10.5120/3597-4991 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:15:28.361921+05:30
%A Ranjan Parekh
%T Improving Texture Recognition using Combined GLCM and Wavelet Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 10
%P 41-46
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
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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Index Terms

Computer Science
Information Sciences

Keywords

Texture recognition Grey Level Co-occurrence Matrix Wavelet decomposition Content Based Storage and Retrieval Pattern Recognition

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