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。
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...
出处
《计算机应用研究》
CSCD
北大核心
2009年第3期1177-1179,共3页
Application Research of Computers
基金
重庆市科委自然科学基金资助项目(CSTC2007BB2392)
关键词
模糊形态学
模糊增强
自适应
多方向
边缘检测
fuzzy mathematical morphology
fuzzy enhance
adaptive
multi-directions
edge detection
