基于数学形态学滤波的灰度图像边缘检测  

Gray image edge detection based on mathematical morphology filter

作　　者：史东承[1] 于明会[1] 

机构地区：[1]长春工业大学计算机科学与工程学院,吉林长春130012

出　　处：《长春工业大学学报》2008年第3期283-287,共5页Journal of Changchun University of Technology

摘　　要：针对灰度图像边缘检测,提出组合二值形态滤波结合边缘检测算子的新算法。该算法通过阈值分解把灰度图像形态学滤波问题转换为对二值图像形态学滤波,具有简便且适合逻辑电路实现等优点。仿真结果表明,选取适当的结构元素,该算法能够有效消除椒盐噪声、保留图像边缘。Based on combinational binary morphology filter and edge detection operator, a new edge detection algorithm is proposed, which can transform gray image morphology filter into binary morphology filter by means of threshold decomposition. The algorithm is simple and suitable for logical circuit implementation. Simulation demonstrates that the new algorithm can suppress saltpepper noise and maintain edge of image effectively with proper structuring elements.

关 键 词：数学形态学 结构元素 阈值分解 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]