| 摘要: |
| 提出了一种特征匹配策略,它通过建立一个以匹配矩阵为自变量的函数,将空间关系一致性和特征相似性两方面的准则有机地结合起来,使得该函数在图像的最佳配准位置达到全局最大值.这样,特征匹配问题转化为一个函数最优化问题.采用分支定界法解决了这个整数规划问题.用大量的实际图像测试了该方法,并与多种已有方法进行了比较.实验结果表明,该算法是自动的、通用稳健的,而且配准精度是最高的. |
| 关键词: 图像配准 特征匹配 自动 高精度 |
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| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.40571103 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant No.2006AA12Z410 (国家高技术研究发展计划(863)) |
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| An Automated Method for Feature-Based Image Registration with High-Accuracy |
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WEN Gong-Jian,Lü Jin-Jian,WANG Ji-Yang
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| Abstract: |
| In this paper, a feature matching strategy is developed. It is realized by introducing a function whose independent variable is the match matrix, which describes the correspondence of the features. It combines spatial relations and feature similarity organically and makes sure that its global maximum can be reached when the sensed image is aligned with the reference image completely. Thus the feature correspondence can be estimated by finding the maximum of the function. The branch-and-bound strategy is employed in the integer programming problem. A lot of real images are used to demonstrate its performance. Compared with some existing methods, it is automated, robust, and has the highest accuracy. |
| Key words: image registration feature matching automated high-accuracy |
