线性拟合联合参数法在图像配准中的应用  

Image registration based on piecewise linear group parameters

作　　者：马文静[1] 陈辉[1] 田宏阳[1] 

机构地区：[1]山东大学信息科学与工程学院,山东济南250100

出　　处：《计算机应用》2007年第4期976-978,共3页journal of Computer Applications

基　　金：山东省自然科学基金资助项目(Z2005G02);山东省优秀中青年科学家科研奖励基金资助项目(03S001)

摘　　要：提出了一种基于仿透视函数模型和相机响应参数模型共同作用下图像配准算法。首先估算角点匹配以加强匹配精度和速度;由受约束条件控制的分段线性函数近似相机的非线性响应函数,建立起全局参数模型;应用最小二乘法,得到较为精确的参数初始值;最后应用迭代算法降低配准误差。实验结果表明,该算法很好地解决了曝光差异图像配准问题,提高了迭代速度和精确度。An improved image registration method based on pseudo-perspective model and comparametric function was presented. Firstly, computation of comer match was performed to improve the matching stability and operation speed. Secondly, an approximation of the camera＇s nonlinear response function was accomplished with a constrained piecewise linear one, and the joint registration model was well established. Then the more precise initial parameters could be obtained with a computationally attractive least squares method. Lastly, optimal iteration algorithm was performed to reduce the registration error. The experimental results show that the method is doing well to solve the problem of exposure difference between images and improves the speed of iteration meanwhile.

关 键 词：图像配准 角点匹配 线性拟合 迭代优化 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]