【摘要】 利用点相关原理,使基于灰度相关性的图像配准算法的速度得以提高,并从2个方面改进了已有的点相关方法,即引入信息熵构成新的相关性评价函数,提出点对置换的组合优化方法来提取预定义点集。实验结果表明,改进后的算法在点集优化、配准精度及算法抗噪性方面都得以改善。在算法中还运用了立方样条插值技术,使得算法精度达到亚像素级水平。更多还原

【Abstract】 The algorithm is based on point correlation method and improved mainly in two aspects.One is using entropy as correlation measure function and the other is developing a pairwise exchange strategy to obtain the predefined set of points.Also a spline interpolation model is embedded to ensure the algorithm has subpixel accuracy.Simulation results confirm the validity of the presented algorithm.更多还原