| 基于小波变换的图像边缘检测匹配算法 |
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| 引用本文： | 杨泽仟,刘广琦,吴永国,李德强. 基于小波变换的图像边缘检测匹配算法[J]. 微计算机信息, 2010, 0(10) |
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| 作者姓名： | 杨泽仟 刘广琦 吴永国 李德强 |
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| 作者单位： | 中国科学院沈阳自动化研究所;中国科学院研究生院; |
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| 基金项目： | 基金颁发部门:国家自然科学基金(60603097) |
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| 摘 要： | 小波变换能够获取信号的时频局部化特征,可作为一种有效的图像边缘检测工具。本文提出一种基于二维小波变换的图像边缘检测方法。首先对图像分别做两方向的小波变换,进而得到二维小波变换的幅值和梯度,然后利用非极大值抑制方法检测二维小波变换的模极值点作为图像的边缘点,最后利用Hausdorff算法实现模板边缘与实时图边缘之间的匹配。仿真试验表明本文所提出算法的有效性。
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| 关 键 词： | 图像匹配 小波变换 边缘检测 Hausdorff距离 |
Image Edge Matching Based on Wavelet Transform |
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| YANG Ze-qian LIU Guang-qi WU Yong-guo LI De-qiang. Image Edge Matching Based on Wavelet Transform[J]. Control & Automation, 2010, 0(10) |
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| Authors: | YANG Ze-qian LIU Guang-qi WU Yong-guo LI De-qiang |
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| Affiliation: | YANG Ze-qian LIU Guang-qi WU Yong-guo LI De-qiang(Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang Liaoning 110016,China)(Graduate University of Chinese Academy of Sciences,Beijing 100039,China) |
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| Abstract: | Wavelet transform (WT) can obtain temporal and spatial features from image,therefore it can be used as an effective tool for detecting image edge.This paper proposes a 2-D wavelet transform based image edge detection method.Firstly,we perform WT on two directions respectively,and obtain the magnitude and gradient of the 2-D WT.Then non-maxima suppression method is used to detect the magnitude of WT as the image edge.Finally,Hausdorff matching method is used to fulfill the matching between template edge and ... |
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| Keywords: | Image Matching Techniques Wavelet Transform Edge detection Haussdorff Distance |
| 本文献已被 CNKI 等数据库收录！ |
