%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
	%P 119 - 123