| 基于人工免疫网络算法的图像配准方法 |
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| 引用本文： | 叶发茂,苏林,李树楷.基于人工免疫网络算法的图像配准方法[J].计算机工程,2007,33(13):197-199. |
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| 作者姓名： | 叶发茂 苏林 李树楷 |
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| 作者单位： | 南昌大学计算机科学与技术系,南昌,330029;中国科学院遥感应用研究所,北京,100101;中国科学院遥感应用研究所,北京,100101 |
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| 摘 要： | 图像配准在很多领域得到了广泛应用，而且是其中不可缺少的步骤。该文提出了一种基于人工免疫网络算法的图像自动配准方法，该方法利用Partial Hausdorff距离作为相似测度，采用人工免疫网络算法寻找最优解。实验证明该方法可以很好地配准各种图像，为图像配准提供较好的解决方法。
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| 关 键 词： | 图像配准 人工免疫网络算法 Partial Hausdorff距离 |
| 文章编号： | 1000-3428（2007）13-0197-03 |
| 修稿时间： | 2006-07-10 |
Image Registration Based on Algorithm of Artificial Immune Network |
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| YE Famao,SU Lin,LI Shukai.Image Registration Based on Algorithm of Artificial Immune Network[J].Computer Engineering,2007,33(13):197-199. |
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| Authors: | YE Famao SU Lin LI Shukai |
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| Affiliation: | 1. Department of Computer Science and Engineering, Nanchang University, Nanchang 330029; 2. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101 |
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| Abstract: | Image registration is used in many practical problems in diverse fields, and it is an important step in those applications. A new algorithm for image registration based on artificial immune network is proposed. It takes Partial Hausdorff distance as the similarity metric, and uses artificial immune network to find the optimal transformation parameters. Experimental results show that the proposed approach is a promising method for registration of image, and can be a good solution for image registration. |
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| Keywords: | image registration artificial immune network Partial Hausdorff distance |
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