An edge detection algorithm based on Human Visual System

摘要：

　　Edge detection is a fundamental problem in computer vision.In this paper,we present an effective algorithm to find salient edges from infrared scene images based on Human Visual System.The algorithm integrates three basic edge features:edge contrast,edge density and edge length.In this manner,the proposed algorithm works well to detect salient region boundaries and to suppress false edges from background and texture.The experimental results demonstrate the effectiveness of the proposed algorithm.

关键词： edge detection saliency edge contrast edge density edge length

作者: Chuanmin Xiao Tianlei Ma Renbo Xia

作者单位: Key Laboratory of Optical-Electronics information Processing,Shenyang Institute of Automation,Chines University of Chinese Academy of Sciences,Beijing

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 1511-1515

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）