多方向模糊形态学彩色图像边缘检测算法  

Multi-directions algorithm of fuzzy mathematical morphology for color edge detection

作　　者：王佐成[1] 唐素[2] 薛丽霞[2] 冀志敏[2] 

机构地区：[1]重庆邮电大学软件学院,重庆400065 [2]重庆邮电大学计算机科学与技术学院,重庆400065

出　　处：《计算机应用研究》2010年第10期3971-3973,共3页Application Research of Computers

基　　金：重庆邮电大学博士科研启动基金资助项目(A2008-15)

摘　　要：提出了一种多方向模糊形态学彩色图像边缘检测算法,并将灰度模糊形态学推广到彩色图像。首先采用隶属度函数将彩色图像映射到模糊域;然后采用多方向模糊形态学在R、G、B三个分量上进行边缘检测;最后合成各分量的边缘,得到最终彩色图像边缘。仿真实验证明,该算法能够较好地检测彩色图像边缘,检测结果优于传统的边缘检测算子,并能够检测出彩色图像中的模糊边缘。This paper proposed a multi-directions algorithm of fuzzy mathematical morphology for color edge detection. It was to implement the gray fuzzy morphological edge detection in the color images. First,changed color image data form the space domain to the common fuzzy domain using a membership function. Then,extracted the edges of the modified by the multi-directions algorithm of fuzzy mathematical morphology on R,G,B component images. In the end,combined the 3 components edge,and obtained the edge of color image. Experiments testify that the algorithm is best to detect the edge of the color image efficiently,and test results are superior to the traditional edge detection operator,furthermore,to detect the fuzzy edge of color image efficiently.

关 键 词：模糊形态学 多方向 彩色图像 边缘检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]