摘要
在深入地探讨数学形态学在边缘检测领域中的应用的基础上,系统地给出了普通形态差分算子,并提出了一类广义形态差分算子。同时,把提出的广义形态差分算子应用于受噪声污染的图象,以提取图象的边缘。通过实验表明,广义形态边缘检测算子能较好地提取边缘,在抑制噪声对边缘的影响和保持图象的边缘细节上,效果优于经典的边缘检测器和普通形态边缘检测器。
In this paper,applications of edge detection based on mathematical morphology are deeply discussed.Firstly,ordinary morphological differentiating oprators are systematically presented and general morphological edge detectors(GMED)are difined.Then GMED are used in noise image to detect the edge.It is showed by the experiments that,used by GMED the edge is more preferably detected and they are more effective than other classical and ordinary morphlogical detectors in restraining noise and retaining the image details.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第17期91-92,共2页
Computer Engineering and Applications
基金
部委预研基金资助课题
