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.
Original language | English |
---|---|
Pages (from-to) | 887-891 |
Number of pages | 5 |
Journal | World Academy of Science, Engineering and Technology |
Volume | 65 |
Publication status | Published - 2010 May 1 |
Keywords
- Curvelet
- Defect detection
- Wavelet
ASJC Scopus subject areas
- Engineering(all)