依据图像几何校正的一般思路,提出了一种有效的控制点(CP)自动确定方法.首先定义了基准控制点(RCP)及畸变控制点(DCP)的概念,设计了一种基于图像方差的检测模板,提出了相应的检测准则及搜索方案;然后在畸变图像中利用归一化积相关图像匹配算法实现了基准控制点相对应的畸变控制点的精确定位,并给出了方法的算法流程;最后,以几何旋转畸变图像为例进行仿真实验,准确辨识出了畸变模型的参数,验证了方法的可行性及有效性.

According to the general idea of image geometric rectification, an effective method for control point (CP) auto-decision is presented. Firstly, definitions of reference control point (RCP) and distortion control point (DCP) are given, a RCP detection template is designed based on the variance of image. Relevant detection rules and searching scheme are proposed. Then, normalized product correlation image matching algorithm is adopted to implement precise locating of DCP which is homologous with the RCP in the distortion image, and flowchart of the method for CP auto-decision is given. Finally, simulation experiment is carried out by taking rotation transformation images as an example, the distortion model is accurately identified, and the feasibility and effectivity of the method are proven.