一种基于云模型和数学形态学的边缘检测算法  

A Method of Edge Detection Based on Cloud Model and Morphology

作　　者：谢磊[1] 汪林林[1] 王佐成[1] 

机构地区：[1]重庆邮电大学软件学院,重庆400065

出　　处：《计算机科学》2008年第2期230-231,273,共3页Computer Science

基　　金：重庆市自然科学基金资助项目(CSTS2005BB2065)

摘　　要：针对图像信息的不确定性,本文提出了一种基于云模型并结合数学形态学的边缘检测算法。该算法首先提取灰度图像的若干不确定面云,基于面云之间相邻、包含和相交的位置关系,利用云计算提取得到线云,使用数学形态学的边缘检测算子,对多种类型的边缘进行检测。最后进行了仿真试验,结果表明该算法对不同类型的边缘有一定的适宜度。Aiming at the uncertainty of image information, a kind of method of edge detection based on cloud model and morphology is put forward. In this method, the image is divided into many uncertain curve clouds. Based on the position relationship of these curve clouds, the line clouds are generated by using cloud operations, and then several kinds of the edge of the image can be detected through some morphological operations. Finally, some edge detection experiments are carried out. The results show this method is effective to the different edges.

关 键 词：边缘检测 云模型 数学形态学 不确定性 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP311.13[自动化与计算机技术—计算机科学与技术]