| 一种基于小波变换和图像边缘特征的图像融合方法 |
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| 引用本文： | 孙钦鹏,陈炜,毛士艺. 一种基于小波变换和图像边缘特征的图像融合方法[J]. 信号处理, 2006, 22(5): 761-764 |
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| 作者姓名： | 孙钦鹏 陈炜 毛士艺 |
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| 作者单位： | 北京航空航天大学电子信息工程学院,北京,100083 |
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| 摘 要： | 图像融合是信息融合的重要组成部分,是一种重要的增强图像信息的方法。本文将图像小波变换边缘提取和图像融合结合起来,提出了一种基于图像边缘特征的图像融合方法。首先对输入图像进行小波变换,用模极大值方法检测出图像的多尺度边缘,然后利用边缘特征对小波系数进行融合。实验结果表明该方法既能有效地去除噪声,又能突出源图像的边缘细节信息,是一种有效的图像融合方法。
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| 关 键 词： | 图像融合 小波变换 边缘提取 |
| 修稿时间： | 2005-01-10 |
An Image Fusion Method Based on Wavelet Transform and Image Edges |
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| Sun Qinpeng,Chen Wei,Mao Shiyi. An Image Fusion Method Based on Wavelet Transform and Image Edges[J]. Signal Processing(China), 2006, 22(5): 761-764 |
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| Authors: | Sun Qinpeng Chen Wei Mao Shiyi |
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| Abstract: | Image fusion is an important method to enhance image information.In this paper,edge extraction based on wavelet transfrom and image fusion are combined,and an fusion method based on image edges is proposed.The muhiseale edges are first detected by local modulus maxima of wavelet transform and then the wavelet coefficients are fused according to these edges.The experiment re- suits show that this method can eliminate noise efficiently,and it also enhances the detail information of images,so it is an efficient image fusion method. |
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| Keywords: | Image fusion wavelet transform edges extraction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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