An Edge Detection Algorithm Based on Multi-scale Morphology
Kun Wang, Liqun Gao, Zhengang Shi, Guo Li, Zhaoyu Pian · 2007
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 element's dilation. The experimental results show that the proposed algorithm is more efficient than the usually used gradient-based edge detecting algorithms.