基于小波变换和模糊算法的医学图像的边缘检测算法

注意：本论文已在《大连理工大学学报》Vol.42,No.4.2002：504－508发表
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袁野1.2 欧宗瑛2
(1．大连理工大学自动化系，大连，116024 2．大连理工大学机械系CAD&CG研究所，大连，116024）

摘要：在医学图像三维显示技术中，需要得到单象素级的清晰轮廓线。为了适应这种需求，本文提出了一种边缘检测算法，它基于Mallat小波模极大值边缘检测方法，同时应用模糊数学的原理为模极大值构造相应的隶属函数，对得到的极大值进行进一步筛选，最终可以得到单象素级的边缘。实验结果证明了该算法的可行性。
关键字：小波变换，边缘检测，模极大值，隶属函数，模糊算法

A Method of Edge Detection Based on Wavelet Transform and Fuzzy Algorithm

Yuan Ye 1.2 Zhong Chongquan2 Ou Zongying 2
（1．Automation Department, Dalian University of Technology, Dalian, 116024）
（2．CAD&CG lab, Mechanical Engineering Department, Dalian University of Technology, Dalian, 116024）

Abstract: In 3D render technique of medical images, we need edges which are single pixel. In order to meet this need, we proposed a method of edge detection, which based on Mallat wavelet model maximum edge detection algorithm and fuzzy algorithm. We designed a membership function for model maximum and pick suitable model maximum , then the edge of single pixel can be detected. The experimental results show that the algorithm is feasible.
Keywords: wavelet transform, edge detection, model maximum, membership function, fuzzy algorithm 

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