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自适应多方向模糊形态学边缘检测算法*
引用本文:汪林林,杨帆,王佐成.自适应多方向模糊形态学边缘检测算法*[J].计算机应用研究,2009,26(3):1177-1179.
作者姓名:汪林林  杨帆  王佐成
作者单位:1. 重庆邮电大学,计算机与技术学院,重庆,400065;重庆工学院,重庆,400065
2. 重庆邮电大学,计算机与技术学院,重庆,400065
基金项目:重庆市科委自然科学基金资助项目(CSTC2007BB2392)
摘    要:提出了一种新的基于模糊增强的自适应多方向模糊形态学边缘检测算法。该算法可以适应多峰直方图分布图像的模糊边缘检测,结合了模糊增强方法和模糊形态学边缘检测方法,先使用隶属函数将图像转换为等效的图像模糊特征平面,在此基础上进行模糊增强,降低边缘模糊度,然后再转换到统一模糊区域中;最后进行多方向模糊形态学边缘提取。仿真实验证明该方法能够较好地去除椒盐噪声,并且能够检测出图像中模糊的边缘。

关 键 词:模糊形态学  模糊增强  自适应  多方向  边缘检测

Adaptive multi-directions algorithm of fuzzy mathematical morphology for edge detection
WANG Lin-lin,YANG Fan,WANG Zuo-cheng.Adaptive multi-directions algorithm of fuzzy mathematical morphology for edge detection[J].Application Research of Computers,2009,26(3):1177-1179.
Authors:WANG Lin-lin  YANG Fan  WANG Zuo-cheng
Affiliation:(1.College of Computer Science & Technology, Chongqing University of Posts & Telecommunications, Chongqing 400065, China; 2.Chongqing Institute of Technology, Chongqing 400065, China)
Abstract:This paper introduced a new multi-directions algorithm of fuzzy mathematical morphology for image edge detection based on fuzzy enhancement, and it was also extended to the edge detection of the multi-threshold image. It fused the method of fuzzy enhancing and fuzzy mathematical morphology, and it was performed by extracting the fuzzy property plane from the spatial domain with a new membership function, executing the fuzzy enhancement, obtaining the modified fuzzy domain and extracting the edges of the modified image by the multi-directions algorithm of fuzzy mathematical morphology. The simulations prove that it can perfectly restrain salt & pepper noise by using the algorithm, the fuzzy edges of image are well detected.
Keywords:fuzzy mathematical morphology  fuzzy enhance  adaptive  multi-directions  edge detection
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