基于小波變換和模糊算法的醫學圖像的邊緣檢測算法

注意：本論文已在《大連理工大學學報》Vol.42,No.4.2002：504－508發表
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袁野1.2 歐宗瑛2
(1．大連理工大學自動化系，大連，116024 2．大連理工大學機械系CAD&CG研究所，大連，116024）

摘要：在醫學圖像三維顯示技術中，需要得到單象素級的清晰輪廓線。為了適應這種需求，本文提出了一種邊緣檢測算法，它基于Mallat小波模極大值邊緣檢測方法，同時應用模糊數學的原理為模極大值構造相應的隸屬函數，對得到的極大值進行進一步篩選，最終可以得到單象素級的邊緣。實驗結果證明了該算法的可行性。
關鍵字：小波變換，邊緣檢測，模極大值，隸屬函數，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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