An Auto-Sorting Algorithm For Image Sequences With Different Sizes In Image Stitching
Xuewen Wu, Mingxing Cai · Intelligent Automation & Soft Computing · 2012
Abstract An auto-sorting algorithm for image sequences with different sizes is presented in this paper. The algorithm is suitable for sorting image sequences, such as images in matrix form. Zero padding is used in the stern of image matrices for images with different sizes in the image sequence. As a result, all images adopt the same size. Based on phase correlation, the position relationship between two images is detemuned. The approach used is extended, and anauto-sorting algorithm is applied on image sequences with different sizes. Experimental results show that the algorithm can be implemented effectively without manual intervention. It can overcome the size limitation of images and can be applied in image stitching.