An Edge Detection Algorithm Based on Multi-Scale Morphology

摘要：

Edge detection and segmentation are the first and the most important steps in the process of extracting geometric features of the objects in digital images. Conventionally, edge is detected according to some early brought forward algorithms such as gradient-based algorithm, but they are not so good for noise medical image edge detection. In this paper, based on multi-scale morphology algorithm is proposed to detect the image edge with Gaussian and salt & pepper noise. Threshold is to classify the resource image into two opposite classes: object and background. The part which is larger than the threshold uses large-scale structure element to detect the edge, and uses small-scale structure element for the part less than the threshold. Large-scale structure element gets through small-scale structure elements dilation. The experimental results show that the proposed algorithm is more efficient than the usually used gradient-based edge detecting algorithms.

作者: Kun WANG Liqun GAO Zhengang SHI Li GUO Zhaoyu PIAN

作者单位: Northeastern University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）