基于传感器参数和感兴趣区域的图像配准算法研究

Research on the Registration Algorithm Based on Sensor Parameters and Region of Interest

通过对光电成像型反舰导弹的成像过程分析,提出一种基于传感器参数和感兴趣区域的图像配准方法。红外和可见光图像配准时的变换模型为仿射变换,首先通过传感器参数的调整实现空间分辨率的配准,将仿射变换简化为刚体变换;然后用海天线提取算法提取出感兴趣区域,对感兴趣区域用形态学边缘检测方法求取目标的轮廓中心,并以此为控制点消除图像间的平移变化,实现图像的完全配准;最后利用均方根误差原则对算法的配准效果进行评估。仿真实验表明,该算法快速、准确,配准精度满足目标识别的要求,可以较好地解决异类传感器弱小目标图像配准的难题。

Based on the analysis of the imaging process of optoelectronic imaging anti-ship missile, an image registration algorithm based on sensor parameters and region of interest （RDI） is proposed. Originally the distortion between infrared and visible images is affine. Firstly, by adjusting sensor parameters, the scaling change between images is eliminated and the affine transform is simplified into rigid transform. Then the ROI is got by locating the horizontal region, and the center of the target＇s contour is computed by morphological edge detection and chosen as control point, which is used to eliminate the translational change between images and achieve complete alignment. Finally, the registration effect is assessed by using the rule of root mean square error. The simulation experiments convince that the algorithm is accurate and fast, and can meet the precision requirement for target recognition, providing a good way for solving the difficult registration problem of small target images with different sensors.