%0 Journal Article
	%A M. Ben Othmen and  M. Sayadi and  F. Fnaiech
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 15, 2008
	%T A Multiresolution Approach for Noised Texture Classification based on the Co-occurrence Matrix and First Order Statistics
	%U https://publications.waset.org/pdf/4636
	%V 15
	%X 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
	%P 723 - 729