Texture classification using a novel Walsh/Hadamard transform

Authors:
S. Amirhassan Monadjemi;Payman Moallem
Affiliations:
University of Isfahan, Department of Computer Engineering, Isfahan, Iran;University of Isfahan, Department of Electronic Engineering, Isfahan, Iran
Venue:
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Year:
2006

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Abstract

This paper proposes a novel Walsh/Hadamard-based feature extraction approach to texture classification, called Directional Walsh/Hadamard Transform or DWHT. The DWHT algorithm, an implementation of multi-scale and multi-directional ideas in ordinary Walsh/Hadamard transforms, shows high efficiency in textural feature extraction. A comparative test applied on a database of VisTex textures, illustrates the advantages of the proposed method in both classification accuracy and the computational costs.