Algorithm of Fuzzy Color Images Edge Detection Based on Feature Divergence

摘要：

In order to improve general adaptive capability of algorithm, the A new color image Edge Detection algorithm based on fuzzy theory is proposed. Based on the advantages of less noise and pinpoint in the multi-scale field, the algorithm introduces feature divergence into calculation in order to measure the dissimilarity of pixels, detects color image edge effectively. Compared with traditional edges and competitive fuzzy edge detection, the fuzzy color image edge detection result of the proposed approach reduces calculation on large sample of color image, hold favorable consistency in terms of human perception.

关键词： feature divergence multi-scale edge detection

作者: CHENG-XIANG SHI

作者单位: Economical and Trade Chongqing Education College Chongqing, China

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 308-311

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）