@article{(Open Science Index):https://publications.waset.org/pdf/4636,
	  title     = {A Multiresolution Approach for Noised Texture Classification based on the Co-occurrence Matrix and First Order Statistics},
	  author    = {M. Ben Othmen and  M. Sayadi and  F. Fnaiech},
	  country	= {},
	  institution	= {},
	  abstract     = {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},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {3},
	  year      = {2008},
	  pages     = {723 - 729},
	  ee        = {https://publications.waset.org/pdf/4636},
	  url   	= {https://publications.waset.org/vol/15},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 15, 2008},
	}