改进的基于梯度幅值的自适应边缘检测算法  

An Improved Self-adaptable Algorithm of Edge-detection Based on the Gradient Magnitude

作　　者：赵京东[1] 赵景秀[2] 

机构地区：[1]曲阜师范大学数学科学学院,山东曲阜273165 [2]曲阜师范大学计算机科学学院,山东日照276826

出　　处：《光电子技术》2009年第2期98-101,105,共5页Optoelectronic Technology

基　　金：山东省教委科技创新项目(J06B05)

摘　　要：分析文献[1]给出的算法。针对其中存在的问题和不足,给出了一个改进算法。实验结果表明,改进算法弥补了原文算法中的缺陷,在获取连续边缘的同时也较好地抑制了噪声,在运算效率方面有了明显的提升,并节省了大量的内存空间。Aimed at the deficiencies in the algorithm given by the reference[1],this paper gives an improved algorithm.The experimental results show that this algorithm compensated for the deficiencies in the original algorithm.It not only received consecutive edge but also restrained noise was better,and its operational efficiency has been noticeably improved and saves a lot of memory space than the original algorithm.

关 键 词：梯度幅值 阈值 边缘检测 自适应 

分 类 号：TN911.73[电子电信—通信与信息系统]