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基于多结构元多尺度的形态学边缘检测
引用本文:胡媛媛,;蔡光程.基于多结构元多尺度的形态学边缘检测[J].微机发展,2008(11):97-99.
作者姓名:胡媛媛  ;蔡光程
作者单位:昆明理工大学理学院
基金项目:基金项目:云南省自然科学基金(2005F0025M)
摘    要:在形态学梯度边缘检测算子的基础上,针对图像中的几何特征和噪声提出了一种基于多结构元、多尺度的边缘检测方法,用不同取向的结构元素对图像进行多尺度检测,并综合各尺度下的边缘,得到了噪声存在下的理想边缘。实验表明,文中的方法边缘定位准确、轮廓清晰,保留了更多的图像细节,具有较强的抗噪能力。

关 键 词:形态学  边缘检测  多结构元  多尺度

Morphological Edge Detection Based on Multi-Structuring Elements and Multi-Scale
HU Yuan-yuan,CAI Guang-cheng.Morphological Edge Detection Based on Multi-Structuring Elements and Multi-Scale[J].Microcomputer Development,2008(11):97-99.
Authors:HU Yuan-yuan  CAI Guang-cheng
Affiliation:HU Yuan-yuan,CAI Guang-cheng (Faculty of Science, Kunming University of Science and Technology, Kunming 650093, China)
Abstract:The morphological gradient operators of edge detection with multi-structuring elements and multi-scale are given for gray-scale image and noise.Five elements are used to detect multi-directional edges of image at different scales.The more ideal image edges under the environment of existing noise are obtained by integrating the edge characteristics for various scale.The experiments show that compared with traditional morphological edge detection algorithms,the method possesses better edge locating ability and keeps the more edge details,but also the ability of noise interference restrained is stronger.
Keywords:morphology  edge detection  multi-structure elements  multi-scale
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