基于超模糊集的Canny边缘检测在花椒图像中的应用  

Studies on Application of Ultra-fuzzy-set-based Canny Edge Detection Algorithm to Pepper Image

作　　者：宋凌怡[1] 舒涛[2] 周德荣[2] 

机构地区：[1]四川民族学院计算机科学系,四川康定626001 [2]四川民族学院网络信息中心,四川康定626001

出　　处：《重庆工商大学学报（自然科学版）》2016年第3期38-42,共5页Journal of Chongqing Technology and Business University:Natural Science Edition

基　　金：四川省教育厅自然科学项目(15ZB0329)

摘　　要：针对花椒图像中花椒边缘的检测问题,提出了一种基于超模糊集的Canny检测算法;算法选用RGB颜色模型,先采用中值滤波对图像预处理,然后采用基于超模糊集阈值选择的Canny算法对花椒图像进行边缘检测,最后用形态学的腐蚀和膨胀对花椒轮廓做加强处理;实验结果表明算法能够有效地检测出花椒图像边缘。A Canny test calculation method was proposed based on ultra-fuzzy sets aiming at the test problems of the pepper edges on the pepper pictures. The algorithm chooses RGB color model, conducts the image preprocessing with median filter first,then carries out the edge detection for pepper image by using the Canny detector based on the threshold value of ultra-fuzzy set,and finally enhances the pepper outline with the morphic erosion and dilation. The experimental result shows that the algorithm can effectively detect the pepper image edge.

关 键 词：超模糊集 中值滤波 腐蚀和膨胀 

分 类 号：TN946[电子电信—信号与信息处理]