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Interest of the multi-resolution analysis based on the co-occurrence matrix for texture classification

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3 Author(s)
M. Ben Othmen ; SICISI, Ecole Superieure des Sciences et Techniques de Tunis (ESSTT), 5 Av. Taha Hussein, 1008, Tunisia ; M. Sayadi ; F. Fnaiech

Wavelet transform provides several important characteristics which can be used in a texture analysis and classification. In this work, an efficient texture classification method, which combines concepts from wavelet and co-occurrence matrices, is presented. An Euclidian distance classifier is used to evaluate the various methods of classification. A comparative study is essential to determine the ideal method. Using this conjecture, we developed a novel feature set for texture classification and demonstrate its effectiveness.

Published in:

MELECON 2008 - The 14th IEEE Mediterranean Electrotechnical Conference

Date of Conference:

5-7 May 2008