Textile Recognition Using Tchebichef Moments of Co-occurrence Matrices

Authors:
Marc Cheong;Kar-Seng Loke
Affiliations:
School of Information Technology, Monash University Sunway Campus, Selangor Darul Ehsan, Malaysia 46150;School of Information Technology, Monash University Sunway Campus, Selangor Darul Ehsan, Malaysia 46150
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Year:
2008

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Abstract

The existing use of summary statistics from co-occurrence matrices of images for texture recognition and classification has inadequacies when dealing with non-uniform and colored texture such as traditional `Batik' and `Songket' cloth motifs. This study uses the Tchebichef orthogonal polynomial as a way to preserve the shape information of co-occurrence matrices generated using the RGB multispectral method; allowing prominent features and shapes of the matrices to be preserved while discarding extraneous information. The decomposition of the six multispectral co-occurrence matrices yields a set of moment coefficients which can be used to quantify difference between textures. The proposed method have yielded very good recognition rate when used with the BayesNetclassifier.