一种基于改进的形态学算子的边缘检测算法  

An Edge Detection Algorithm Based on Improved Morphologic Operators

作　　者：孟婷婷[1] 余谅[1] 李寿敏[1] 陈雪[1] 

机构地区：[1]四川大学计算机学院,四川成都610064

出　　处：《计算机工程与科学》2011年第8期112-116,共5页Computer Engineering & Science

基　　金：国家自然科学基金资助项目(60736046)

摘　　要：本文提出了一种基于改进的形态学算子和多尺度多结构元素思想的边缘检测算法。改进的抗噪型形态学边缘检测算子增强了图像边缘检测时的抗噪能力,采用多尺度和多结构元素构建的边缘检测算法既具有较好的抗噪能力,同时可检测更多边缘方向。实验结果表明,该算法具有较好的抗噪能力,在检测出更多的边缘方向的同时可保留较多的边缘细节,具有较强的适应性。An edge detection algorithm using improved morphologic operators with multi-scale and multi-structuring elements is presented in this paper. The competence of anti-noise can be improved by the improved morphologic operator when using it to detect image edges. And the use of the idea of multi-scale and multi-structuring elements can detect more information of edge direction while having better competence of anti-noise. The results of experiments show that the algorithm has better competence of anti-noise and retains more edge details while detecting more information of edge direction, thus has better applicability.

关 键 词：形态学算子 多尺度 多结构元素 边缘检测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]