Edge Detection Based on Adaptive Structure Element Morphology

摘要：

The morphological gradient is an attractive option for edge detection which is important in image analysis. But the morphological gradient detector with fixed structure element can hardly suit itself to the diverse property of the edge features,and its performances are constrained.On the spur of this limitation,an improved morphological gradient detector using adaptive structure element is proposed in this paper.Fuzzy topology is introduced into this novel detector for the evaluation of the membership of the pixels and then the shape of the current edge feature,also the shape of the most seemly structure element can be figured out according to this membership.Owing to these efforts,the morphological gradient detector based on the new adaptive structure element wins more powerful capability in the extraction of the variable edge features.

关键词： morphological gradient structure element adaptation fuzzy topology

作者: Zhe Lü Fuli Wang Yuqing Chang Yang Liu

作者单位: School of Information Science &Engineering Northeastern University Shenyang,Liaoning,China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）