由于红外热像仪的视场角有限和人们对获取热波图像的分辨率要求较高，大尺寸物件的热波无 损检测需要将多次检测得到的多幅图像拼接起来后才能实现。图像拼接的前提是图像配准精确。根据模板匹配的思 想，将遗传算法引入到了热波图像配准技术当中。通过改进选择策略，设计了自适应的交叉和变异概率，从而实现热波图 像的精确配准。实验结果表明，此方法能够很好地实现热波图像的精确配准，运算速度得到了改善且稳定性良好。

Because the angle of field of view of an infrared thermal imager is limited and higher resolution is required for the obtained thermal wave image, the thermal wave nondestructive detection of a large object can be implemented only when several images are jointed. For the joint of images, the premise is that the images should be registered precisely. According to the concept of template matching, the Genetic Algorithm (GA) is incorporated into the infrared thermal wave image registration. Through the modification of selection strategy, an adaptive crossover and mutation probability is designed to realize precise registration of thermal images. The experimental result shows that the method can realize the precise registration of thermal images and its operation speed and stability are improved.