| 基于多尺度形态学的红外图像边缘检测方法 |
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| 引用本文： | 刘曙,罗予频,杨士元. 基于多尺度形态学的红外图像边缘检测方法[J]. 计算机应用, 2007, 27(4): 970-971 |
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| 作者姓名： | 刘曙 罗予频 杨士元 |
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| 作者单位： | 清华大学,自动化系,北京,100084;清华大学,自动化系,北京,100084;清华大学,自动化系,北京,100084 |
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| 摘 要： | 提出了一种基于数学形态学算子的多尺度边缘检测方法。首先选取几个有代表性的结构元素对灰度图像进行边缘检测得到边缘图像。改变结构元素的尺寸大小可得到多尺度下的边缘图像，根据局部边缘生存期的长短将不同尺度下的边缘图像合成。对噪声大、边缘较模糊的红外图像进行了边缘检测与比较，实验表明该算法抗噪能力强，能得到更精细准确的边缘。
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| 关 键 词： | 边缘检测 多尺度 形态学 红外图像 |
| 文章编号： | 1001-9081（2007）04-0970-02 |
| 收稿时间： | 2006-10-17 |
| 修稿时间： | 2006-10-172006-12-23 |
Edge detection of infrared image based on multi-scale morphology |
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| LIU Shu,LUO Yu-pin,YANG Shi-yuan. Edge detection of infrared image based on multi-scale morphology[J]. Journal of Computer Applications, 2007, 27(4): 970-971 |
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| Authors: | LIU Shu LUO Yu-pin YANG Shi-yuan |
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| Affiliation: | Department of Automation, Tsinghua University, Bering 100084, China |
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| Abstract: | An edge detection algorithm based on multi-scale morphology was presented. Firstly, image edge was detected by using several typical structure elements. Then, edges in different scale were combined according to the life of local feature, which were detected by changing the size of structure elements. Compared with several conventional edge detectors, the proposed algorithm has better noise immunity and performance on edge detection of infrared image with large noise and blurry edge. |
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| Keywords: | edge detection multl-scale morphology infrared image |
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