Image registration is to register two or more images in the same scene in space. It's widely used in the field of image analysis such as medical science, remote sensing image analysis, image fusion, image retrieval and target identification. A main problem of image registration is difficulty in matching, which is caused by a lot of image distortion in original images. Compared to the reference image, the problem is caused by the floating image produces large areas of the same color or various distortions such as translation, rotation and zooming in the image. For all of these distortion problems, this paper proposes a solution, which uses the camera calibration information to get the translation matrix, the rotation matrix, and the scaling of the distortions, and corrects the image distortions by inverse transformation. The camera calibration information, however, often be changed by moving the camera position. To solve this problem, this paper is by getting the PTZ Corner in the multi-angle to determine the camera calibration information. Experiments show that this paper provides a good solution to solve the distortion problems in the stage of image registration and improve the accuracy in the stage of image registration.