Image Stitching Based on Improved Gradual Fusion Algorithm

In order to improve the effect of image stitching and eliminate the gap between images caused by the uneven local brightness of the image in the process of stitching, an improved gradual fusion algorithm is proposed. Compared with linear gradual fusion method, the improved gradual fusion method has a non-linear change in weight, so it achieve no stitching gap and smooth transition at the stitching point .Surf algorithm is used for feature point detection and Hessian matrix is used to obtain feature points. The feature points are matched by Euclidean distance, and the improved gradual fusion algorithm is used for image fusion to achieve the smooth transition. The experimental results show that the improved algorithm could improve the effect of image fusion significantly.