An Improved Sobel Edge Detection

摘要：

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.

关键词： soft-threshold wavelet de-noising edge detection operator White Gaussian noises edge detection

作者: Wenshuo Gao Lei Yang Xiaoguang Zhang Huizhong Liu

作者单位: Digital Media Department.Communication University of China ICICT 2010 Beijing,China

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

会议地点: 成都

会议语种:英文

页码: 67-71

在线出版日期: 2010-07-07（万方平台首次上网日期，不代表论文的发表时间）