| 多尺度变换和粒子群优化的图像融合方法 |
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| 引用本文： | 那彦,王赟鹏.多尺度变换和粒子群优化的图像融合方法[J].电子科技,2015,28(7):137. |
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| 作者姓名： | 那彦 王赟鹏 |
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| 作者单位： | (西安电子科技大学 电子工程学院,陕西 西安 710071) |
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| 摘 要： | 在图像融合领域,基于多尺度变换的图像融合方法是研究的热点,文中提出了一种基于多尺度变换和粒子群优化的图像融合方法,对基于多尺度变换得到的融合图像,利用粒子群优化进行进一步处理,并讨论了优化算法中初始图像质量对最终结果的影响。实验结果表明,该算法具有较好的融合结果,且优化时选取偏差大的初始图像粒子,能够获得更好的融合结果。
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| 关 键 词： | 图像融合 多尺度变换 粒子群优化 初始图像粒子 |
Research on Image Fusion Based on Multi-scale Transform and Particle Swarm Optimization |
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| NA Yan,WANG Yunpeng.Research on Image Fusion Based on Multi-scale Transform and Particle Swarm Optimization[J].Electronic Science and Technology,2015,28(7):137. |
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| Authors: | NA Yan WANG Yunpeng |
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| Affiliation: | (School of Electronic Engineering,Xidian University,Xi'an 710071,China) |
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| Abstract: | The image fusion based on multi-scale transform is a hot spot in multi-sensor image fusion.A method of image fusion based on multi-scale transform and particle swarm optimization is proposed in this paper and the impact of the quality of initial images on fusion result is further studied.Experimental results show that the algorithm has better fusion result and using images of large deviation can get better result. |
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| Keywords: | image fusion multi-scale transform particle swarm optimization initial images |
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