DocumentCode :
1930755
Title :
An improved Sobel edge detection
Author :
Gao, Wenshuo ; Zhang, Xiaoguang ; Yang, Lei ; Liu, Huizhong
Author_Institution :
Digital Media Dept., Commun. Univ. of China, Beijing, China
Volume :
5
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
67
Lastpage :
71
Abstract :
This paper proposes a method which combines Sobel edge detection operator and soft-threshold wavelet de-noising to do edge detection on images which include White Gaussian noises. In recent years, a lot of edge detection methods are proposed. The commonly used methods which combine mean de-noising and Sobel operator or median filtering and Sobel operator can not remove salt and pepper noise very well. In this paper, we firstly use soft-threshold wavelet to remove noise, then use Sobel edge detection operator to do edge detection on the image. This method is mainly used on the images which includes White Gaussian noises. Through the pictures obtained by the experiment, we can see very clearly that, compared to the traditional edge detection methods, the method proposed in this paper has a more obvious effect on edge detection.
Keywords :
Gaussian noise; edge detection; median filters; signal denoising; wavelet transforms; white noise; Sobel edge detection operator; mean denoising; median filtering; soft-threshold wavelet denoising; white Gaussian noise; Image edge detection; Noise reduction; White Gaussian noises; edge detection; edge detection operator; soft-threshold wavelet de-noising;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5563693
Filename :
5563693
Link To Document :
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