@article{(Open Science Index):https://publications.waset.org/pdf/9688, title = {A New Voting Approach to Texture Defect Detection Based on Multiresolutional Decomposition }, author = {B. B. M. Moasheri and S. Azadinia}, country = {}, institution = {}, abstract = {Wavelets have provided the researchers with significant positive results, by entering the texture defect detection domain. The weak point of wavelets is that they are one-dimensional by nature so they are not efficient enough to describe and analyze two-dimensional functions. In this paper we present a new method to detect the defect of texture images by using curvelet transform. Simulation results of the proposed method on a set of standard texture images confirm its correctness. Comparing the obtained results indicates the ability of curvelet transform in describing discontinuity in two-dimensional functions compared to wavelet transform}, journal = {International Journal of Computer and Information Engineering}, volume = {5}, number = {1}, year = {2011}, pages = {119 - 123}, ee = {https://publications.waset.org/pdf/9688}, url = {https://publications.waset.org/vol/49}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 49, 2011}, }