After image stitching, there are often problems such as large stitching gap, stitching error and image distortion, which affect the display effect of the image. In this study, the gray level co-occurrence matrix is used to propose the feature points in the image, and the image registration and image fusion techniques are used to eliminate the stitching seam. Image fusion algorithm uses image variance, correlation and Tenengrad gradient as indicators to evaluate image quality. It can be seen from the experiments that the algorithm proposed in this study has better seam elimination effect compared with other algorithms, and the display effect of the spliced image is clearer.