Research on Container Panorama Image Stitching Method

This paper focuses on the feature-based image stitching technology. The algorithm has been studied and experimented based on the steps of sample acquisition, image preprocessing, feature point detection, matching, transformation model, fusion, etc. In the feature point detection part, the SURF algorithm with better overall performance than Harris, FAST, SIFTS, and ORB algorithms were selected. In the matching part, different algorithms are analyzed and the best solution is selected. Based on the initially formulated image stitching scheme, the algorithm is optimized and the container image is stitched. The quality and reason of the output image are analyzed, and the scheme is revised according to them. Stitching experiments are performed on multiple images based on simple image splicing.