【摘要】 图像配准是图像融合技术的基本环节和首要问题。针对红外和可见光图像的配准问题,分析了两者配准的特点。引入6参数的仿射变换模型来描述3D空间中的目标,分析了通常采用的4参数模型的不完备性。利用模型计算配准参数,并用最小二乘法达到用多个配准点拟合出最优参数解的目的。实验结果表明,此方法可以很好地消除红外和可见光图像之间的差异。更多还原

【Abstract】 The registration of multi-sensor images is a basic and key technique in image fusion process. We analyzed the characteristics of infrared and visible light images registration, established 6-parameters affine transformation model to describe the target in 3-D space, analyzed the imperfection of commonly used 4-parametrs model. On the basis of the registration parameters calculated with the model, we use least square method to fit the optimization parameters with multi registration points. The experimental result shows the method can commendably reduce the geometry and position differences of the infrared and visible light images.更多还原