| 基于形态学多结构元边缘提取方法的研究 |
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| 引用本文： | 傅其凤,葛杏卫,刘浩.基于形态学多结构元边缘提取方法的研究[J].传感器与微系统,2007,26(6):65-66,69. |
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| 作者姓名： | 傅其凤 葛杏卫 刘浩 |
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| 作者单位： | 1. 河北科技大学,机械电子工程学院,河北,石家庄,050054
2. 北京邮电大学,国际学院,北京,100876 |
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| 摘 要： | 通过对传统形态学边缘提取方法的分析,提出了基于形态学多结构元边缘提取算子,该算子既有良好的边缘提取特性,又可很好地解决了噪声抑制和保持图像边缘细节之间的矛盾,通过灰度加权平均值作为阈值进行二值化,更加突出了边缘效果。实验表明:基于形态学的多结构元边缘提取算子,具有较高的噪声抑制能力,能够完成复杂背景下的边缘提取。
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| 关 键 词： | 数学形态学 多结构元 边缘检测 复杂背景 |
| 文章编号： | 1000-9787（2007）06-0065-02 |
| 修稿时间： | 2007-05-17 |
Study on multi-structuring element edge detection operator of mathematical morphology |
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| FU Qi-feng,GE Xing-wei,LIU Hao.Study on multi-structuring element edge detection operator of mathematical morphology[J].Transducer and Microsystem Technology,2007,26(6):65-66,69. |
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| Authors: | FU Qi-feng GE Xing-wei LIU Hao |
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| Affiliation: | 1. School of Mechanical and Electronic Engineering, Hebei University of Science and Technology, Shijiazhuang 050054, China; 2. International School, Beijing University of Post and Telecommunications, Beijing 100876, China |
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| Abstract: | Based on the analysis of traditional edge detection operator of mathematical morphology, a multi- structuring element edge detection operator of mathematical morphology is proposed, which can suppress noise as much as possible while preserving fine details. Threshold acquired by weighted average of gray levels is used to binarize the image,which has a better effect for improving image edge. Experiment results show that the multi-structuring element edge detection operator of mathematical morphology which suppresses noise effectively can detect the edges from the complex background. |
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| Keywords: | mathematical morphology multi-structuring element edge detection complex background |
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