%0 Journal Article %A B. B. M. Moasheri and S. Azadinia %D 2011 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 49, 2011 %T A New Voting Approach to Texture Defect Detection Based on Multiresolutional Decomposition %U https://publications.waset.org/pdf/9688 %V 49 %X 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 %P 119 - 123