Research of Edge Detection Based on Fuzzy Inference
An algorithm of edge detection based on fuzzy inference is presented in this paper. There are 32 edge models in a 3×3 template, and the template is divided into two parts. According to these models, 32 if-then fuzzy inference rules are combined to generate a fuzzy set of potential edge pixels. With 4 fuzzy rules, the redundant edge points are deleted, and then a membership threshold is used to practical edge points. In the end, the experiment result is given to testify the algorithm.
fuzzy inference fuzzy sets edge detection
Zheng Zhang Kangling Fang Dengming Xiao
School of Electric Power Engineering, Shanghai Jiao Tong University, Shanghai, China College of Information Sci. and Eng., Wuhan Univ. of Science and Technology, Wuhan, China
国际会议
2006现代科技国际研讨会(The International Workshop on Modern Science and Technology in 2006)
北京
英文
461-467
2006-04-01(万方平台首次上网日期,不代表论文的发表时间)