Edge Detection Using Morphological Directional Gradient

摘要：

Morphological gradient with threshold is a common way for edge detection, however, it is sensitive to noise, and easily results in false edges, a method for edge detection using morphological directional gradient is proposed, which employs both gradient magnitude and direction to detect edges. Morphological gradient magnitude and threshold are used to detect edges including false edges, and gradient direction with its directional difference threshold is served to check and remove noise caused false edges. Experiments show that this method can efficiently suppress false edges with high signal noise ratio and good localization precision.The effect of edge detection is superior to traditional morphological gradient.

关键词： Edge Detection Morphology Directional Gradient False Edges Threshold

作者: Xiaopeng Wang Tao Lei Yingjie Li

作者单位: School of Electronic and Information Engineering, Lanzhou Jiaotong University Lanzhou, Gansu, 730070, China

会议类型: 国际会议

会议名称: 2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 408-411

在线出版日期: 2006-10-12（万方平台首次上网日期，不代表论文的发表时间）