基于Powell算法的亚像元配准方法

基于Powell优化算法和图像的金字塔分解,提出了一个新的亚像元运动参数估计方法.用参考图像和待配准图像构造的非线性最小二乘公式作为Powell算法的目标函数,并且以运动参数作为变量.由细到粗的多分辨率分解为准确的亚像元参数估计提供了基础.数值实验结果表明,该算法可以用于准确的稳健的亚像元参数估计,其不足之处在于运行时间比较长.

A Sub-pixel Registration Approach Based on Powell Algorithm

A novel motion parameters estimation approach for sub-pixel accuracy is presented which is based on Powell optimization and the pyramid decomposition method of the images. The non-linear least square formula for the difference of reference and sensed images is seen as the object function for Powell algorithm in which motion parameters are used as variations. Based on multi-resolution decomposition from fine to coarse representation of images, sub-pixel parameters can be accurately estimated. Numerical experiment results indicate that the proposed algorithm can be used to perform accuracy and robust sub-pixel parameters estimation. The drawback of this algorithm is the longer waiting time compared with that of other algorithms.