Edge detection methods and key parameters study. (January 2020)

• Record Type: Journal Article
• Authors: Li, Qingyu
• Is Part Of: Journal of physics. Volume 1453(2020)
• Publication Date: 2020-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1453/1/012142
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Edge is essential for diverse vision processing tasks and it constitutes a crucial part in the image of objects. There has already been a huge amount of researches about edge detection algorithms. The Canny method and the Sobel method are the most widely used techniques because of their relative advantages. Some parameters can drastically affect the performance and results of the two methods, which will be discussed in this paper. In addition, noise is also a factor affecting the number of the extracted edges. Experiment results have demonstrated that the noise filter will achieve better edge detection performance. Further improvements with suitable parameters of different applications for the two methods are possible.