Research of Edge Detection Based on Gabor Wavelet

Author

Hao, Jian-jun ; Jiang, Qiang ; Wei, Jian-Wei ; Mi, Lin

Author_Institution

Automobile Coll., Chongqing Univ. of Technol., Chongqing, China

Volume

2

fYear

2010

fDate

13-14 March 2010

Firstpage

1083

Lastpage

1086

Abstract

The basic problem of edge detection is the contradiction between the detection accuracy and the anti-noise 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 multi-scale 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.

Keywords

Gabor filters; edge detection; image denoising; wavelet transforms; Gabor wavelet filter; edge detection; image noise reduction method; noise suppression; wavelet multiscale transform; Algorithm design and analysis; Automation; Convolution; Gabor filters; Image edge detection; Image processing; Machine vision; Mechatronics; Pixel; Wavelet transforms; Edge detection; Image processing; Machine vision; Multi-Scale Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.674

Filename

5460199