摘要
通过构造与余差有关的目标函数,给出了一种高精度估计图像几何变换矩阵的鲁棒算法——加权鲁棒估计算法。算法首先对原始数据进行计算得出图像间几何变换关系矩阵,再利用特征点周围的灰度信息进行权值计算。在拟合几何变换矩阵的迭代过程中,寻找目标函数最小的匹配关系,从而对两幅图像进行精确配准。实验结果证明,使用该技术后算法的图像配准效果较理想,鲁棒性好,真实感强,实际应用价值较高。
In this paper,a cost function related to residual errors was introduced,and a weighted robust algorithm was presented.Firstly,the geometric transform matrix from the original data was calculated.Weight could be gained from the gray information around the key points.In the process of fitting the model of matrix,the optimal registration relation of the two pictures was found.Experimental results are of better satisfaction,better robustness and stronger sense of reality.It is highly valuable in practice.
出处
《计算机应用》
CSCD
北大核心
2009年第2期427-428,439,共3页
journal of Computer Applications
基金
重庆大学研究生科技创新基金资助项目(200801A1B0290288)
关键词
几何变换矩阵
特征点
灰度信息
目标函数
鲁棒性
geometric transform matrix
key points
gray information
cost function
robustness
