| 基于向量小波与神经网络的图像融合算法 |
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| 引用本文： | 王振飞,宋胜利,杨明珊. 基于向量小波与神经网络的图像融合算法[J]. 工程图学学报, 2007, 28(4): 79-83 |
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| 作者姓名： | 王振飞 宋胜利 杨明珊 |
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| 作者单位： | 1. 郑州大学信息工程学院,河南,郑州,450001
2. 郑州轻工业学院计算机与通信工程学院,河南,郑州,450002 |
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| 摘 要： | 提出了一种基于向量小波和神经网络的图像融合算法.首先对各源图像进行向量小波变换,根据变换后系数计算出各子块图像的清晰度,选取子块图像部分区域清晰度作为前溃神经网络的训练样本,调整神经网络权重;然后用训练好的神经网络组合融合图像的向量小波系数,对组合后的系数进行一致性校验;最后对该系数进行向量小波逆变换,得到融合图像.仿真实验表明,该算法能够较好地解决多传感器图像融合问题,生成的融合图像效果优于有代表性的图像融合方法.
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| 关 键 词： | 计算机应用 图像融合 神经网络 向量小波 清晰度 |
| 文章编号： | 1003-0158（2007）04-0079-05 |
| 收稿时间： | 2006-08-03 |
| 修稿时间： | 2006-08-03 |
Image Fusion Based on Multiwavelet and Neural Network |
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| WANG Zhen-fei,SONG Sheng-li,YANG Ming-shan. Image Fusion Based on Multiwavelet and Neural Network[J]. Journal of Engineering Graphics, 2007, 28(4): 79-83 |
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| Authors: | WANG Zhen-fei SONG Sheng-li YANG Ming-shan |
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| Affiliation: | 1. School of Information Engineering, Zhengzhou University, Zhengzhou Henan 450001, China; 2. Department of Computer and Communication Engineering, Zhengzhou Unversity of Light Industry, Zhengzhou Henan 450002, China |
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| Abstract: | A novel image fusion method using muliwavelet transform and neural network is proposed.Firstly,source images are decomposed with muliwavelet transform(MWT) and sub-image clarity coefficients are obtained.Some of them are selected as sample for training neural network.Then,output muliwavelet coefficients of fused image though neural network and verify them by consistency.Finally,the fused image is obtained with inverse MWT.Experimental results show that the proposed method outperforms traditional methods for image fusion. |
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| Keywords: | computer application image fusion neural network multiwavelet clarity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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