Edge Detection in Presence of Impulse Noise

摘要：

　　Edge detection in image processing is a difficult but meaningful problem. In this paper, we propose a variational model with L1-norm as the fidelity term based on the well-known Mumford-Shah functional. To solve it, we devise fast numerical algorithms through applying the binary label-set method. Numerical experiments on gray-scale images are given. By comparing with the famous Ambrosio-Tortorelli model with L1-norm as the fidelity term, we demonstrate that our modal and algorithms show advantages in efficiency and accuracy for impulse noise.

关键词： Mumford-Shah model binary level set method edge detection split Bregman method

作者: Yuying Shi Feng Guo Xinhua Su Jing Xu

作者单位: Department of Mathematics and Physics, North China Electric Power University,Beijing, 102206 China Mathematical Sciences, University of Electronic Science and Technology of China,Chengdu, Sichuan, Ch School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou,China

会议类型: 国际会议

会议名称: 9th Conference on Image and Graphics Technologies and Applications(IGTA2014)(第九届图像图形技术与应用学术会议)

会议地点: 北京

会议语种:英文

页码: 9-19

在线出版日期: 2014-06-01（万方平台首次上网日期，不代表论文的发表时间）