| 基于突变微粒群算法的图像融合技术 |
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| 引用本文： | 许占伟,张涛. 基于突变微粒群算法的图像融合技术[J]. 计算机测量与控制, 2011, 19(6) |
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| 作者姓名： | 许占伟 张涛 |
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| 作者单位： | 1. 长春光学精密机械与物理研究所,吉林长春,130000;中国科学院研究生院,北京,100049
2. 长春光学精密机械与物理研究所,吉林长春,130000 |
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| 摘 要： | 文中利用突变微粒群算法进行图像融合;将图像融合问题转化为优化问题,通过使目标函数(平均梯度)最大以求得好的融合效果;并以离散平稳小波变换代替传统的离散小波变换,以克服离散小波变换缺乏平移不变性的缺点;先对源图像进行离散平稳小波分解,细节部分利用能量系数矩阵进行融合;对于近似部分,利用突变微粒群算法求出最优权值对近似部分进行加权融合;实验结果表明,该方法的融合效果优于传统的融合算法。
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| 关 键 词： | 图像融合 突变微粒群算法 离散平稳小波变换 |
An Image Fusion Based on Mutation Particle Swarm Optimization |
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| Xu Zhanwei,Zhang Tao. An Image Fusion Based on Mutation Particle Swarm Optimization[J]. Computer Measurement & Control, 2011, 19(6) |
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| Authors: | Xu Zhanwei Zhang Tao |
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| Affiliation: | Xu Zhanwei1,2,Zhang Tao1(1.Changchun Institute of Optics,fine mechanics and Physics,Changchun 130000,China,2.Graduate university of Chinese Academy of Sciences,Beijing 100049,China) |
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| Abstract: | An image fusion based on mutation particle swarm optimization(MPSO) was proposed in this paper.By using the optimization algorithm,the image fusion was converted into the optimization to find a better fusion with the biggest objective function(average gradient).Discrete stationary wavelet transform replacing traditional discrete wavelet transform was used for conquering the disadvantage which traditional discrete wavelet transform was short of translation invariance.After the Discrete Stationary Wavelet Tra... |
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| Keywords: | image fusion mutation particle swarm optimization(MPSO) discrete stationary wavelet transform(DSWT) |
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