Edge Detection Based on a Fuzzy Inference System

摘要：

　　First-order linear filter is a wide application algorithm to detect edge in digital image.However it dosent make good effort to the image where contrast varies much,or luminance takes on non-uniform.In this paper,a fuzzy inference system (FIS) is made up and used to detect edges.The experiment shows that FIS is much better in edge detection when the image with high contrast variation than with the linear Sobel operator.The FIS is also more precise in edge detection than Sobel operator.

关键词： Fuzzy inference system Edge detection Sobel operator Threshold

作者: Shuliang Sun Chenglian Liu Sisheng Chen

作者单位: Department of Mathematics and Computer Science, Fuqing Branch of Fujian Normal University,Fuqing, 35 Department of Mathematics and Computer Science, Fuqing Branch of Fujian Normal University,Fuqing, 35

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 4436-4440

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）