Magnetic Resonance Images Edge Detection Based on Multi-scale Morphology
Medical image edge detection is the first and the most important steps in the process of extracting geometric features of the objects in medical image process. 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. A method is proposed to detect the image edge with Gaussian and salt & pepper noise based on multi-scale morphology in this paper. The resource image is classified into two opposite classes by threshold: 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.
Kun Wang Jianhua Wu Liqun Gao Zhaoyu Pian Li Guo
College of Information Science & Engineering, Northeastern University, P. O. Box 135, Shenyang 110004, China
国际会议
北京
英文
748-751
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）