| 基于最大互信息的图像拼接优化算法 |
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| 引用本文： | 魏雪丽.基于最大互信息的图像拼接优化算法[J].光电子．激光,2009(10):1399-1402. |
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| 作者姓名： | 魏雪丽 |
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| 作者单位： | 天津理工大学天津市智能计算与软件新技术重点实验室; |
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| 基金项目： | 天津市应用基础及前沿技术面上资助项目(08JCYBJC12200); 天津市高等学校科技发展基金资助项目(20071324) |
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| 摘 要： | 基于多分辨分析(MA)策略,提出了以图像最大互信息(MI)为匹配测度的图像拼接粒子群优化算法(OA-MI),使参数随图像的MI计算和多分辨率级数进行自适应调整,解决了灰度图像配准中由于目标函数容易陷入局部极值而造成的误匹配问题。实验证明,该方法能够有效地避免局部极值的影响,通过有限次寻优迭代即可找到最优配准变换,提高了图像配准的计算速度和图像拼接的质量。
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| 关 键 词： | 图像拼接 配准 多分辨分析(MA) 互信息(MI) 粒子群优化算法(PSO) |
An optimization algorithm of image mosaic based on maximum mutual information |
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| WEI Xue-li.An optimization algorithm of image mosaic based on maximum mutual information[J].Journal of Optoelectronics·laser,2009(10):1399-1402. |
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| Authors: | WEI Xue-li |
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| Affiliation: | WEI Xue-li,ZHANG Hua,MA Yan-jie,XUE Yan-bin (Tianjin Key Laboratory of Intelligence Computing & Novel Software Technology,Tianjin University of Technology,Tianjin 300191,China) |
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| Abstract: | A new image stitching optimization method(OAMI) based on maximum mutual information(MI) is presented.The main idea of the new method is to combine PSO algorithm with wavelet multiresolution analysis strategy(MA),and the parameters of PSO are adapted along with the computing of mutual information and the multiresolution of the images.The experiments show that this method can avoid the registration process from sticking into local extremes in image interpolation operations and find the optimal registration tr... |
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| Keywords: | image mosaic registration multi-resolution analysis(MA) mutual information(MI) particle swarm optimization(PSO) |
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