@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}, }