Research of Edge Detection Based on Gabor Wavelet
The basic problem of edge detection is the contradiction between the detection accuracy and the antinoise performance. In order to solve the contradiction, a new method based on the wavelet transform is proposed. The method reduces image noise by optimizing Gabor wavelet filter and extracts the image edge by using wavelet multiscale transform. The experimental results show that the method not only effectively suppress noise, but also can get the edge of the image of high-precision parts.
Machine vision Image processing Edge detection Multi-Scale Wavelet
Jian-Jun HAO Qiang JIANG Jian-Wei WEI Lin MI
Automobile College, Chongqing University of Technology, Chongqing, 400050, China
国际会议
长沙
英文
2208-2211
2010-03-13(万方平台首次上网日期,不代表论文的发表时间)