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| 一种基于数学形态学的灰度图像边缘检测方法 | |
| 引用本文： | 杨丽雯,曾朝阳,张永继.一种基于数学形态学的灰度图像边缘检测方法[J].国外电子测量技术,2012(2):27-30,38. |
| 作者姓名： | 杨丽雯 曾朝阳 张永继 |
| 作者单位： | 1. 装备学院光电装备系 北京 101416;装备学院研究生管理大队 北京 101416 2. 装备学院光电装备系 北京 101416 3. 61516部队, 北京 100094 |
| 摘 要： | 图像边缘包含图像的绝大部分有用信息,因而图像识别、匹配等具有很大的研究价值。传统的边缘检测算法去噪能力差、边缘定位能力低,而一般数学形态学算法提取的边缘清晰度不高,且不够平滑,难以满足图像处理的需要。采用序列多尺度结构元素分别对图像进行滤波,再灰度累加取均值,有效滤除噪声的基础上,尽量突出有效的边缘信息,去掉无效的细节信息。通过仿真验证,边缘定位精度高且平滑连贯,效果良好。 |
| 关 键 词： | 图像 数学形态学 边缘检测 结构元素 |
Method for the edge detection of gray-scale image based on the mathematical morphology |
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| Yang Liwen , Zeng Chaoyang , Zhang Yongji.Method for the edge detection of gray-scale image based on the mathematical morphology[J].Foreign Electronic Measurement Technology,2012(2):27-30,38. | |
| Authors: | Yang Liwen Zeng Chaoyang Zhang Yongji |
| Affiliation: | 1.The Academy of Equpment,Beijing 101416,China;2.Department of Postgraduate,The Academy of Equpment,Beijing 101416,China;3.61516PLA,Beijing 100094,China) |
| Abstract: | At the image edge,there is much useful information,which is important for image recognition and matching.So the image edge detection has great research value.Because of the low capability of denoising and edge positioning,the traditional algorithm of edge detection is not satisfying,while the edge extracted with the normal mathematical morphology algorithm is not very clear and smooth,and it is hard to meet the requirements of image processing.In this paper,the sequential multi-scale structure element is used in the image filtering,and then to get the mean of gray-scale information.Based on the effectively filtering noise,the invalid detail is removed and the useful edge information is highlighted.The simulation results show that the image edge detected by this method has high accuracy and smooth consistency. |
| Keywords: | image mathematical morphology edge detection constructure element |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |