Image Stitching Based on Corner Detection

Abstract

An image stitching is a method of combining multiple images which are overlapping images of the same scene into a larger image. Mostly used methods are Harris corner detection method and SIFTS (Scale Invariant Feature Transform) method. In this paper, a study of Harris corner detection algorithm and SIFT algorithm is done by comparatively in image stitching using similarity matrix matching scheme. Total 30 pairs of different images have been used for their simulation and comparison. The algorithms have been compared with more number of corners detected in images, number of matching pairs and number of matching time. From the results of simulation it has been observed that SIFT corner detection method is most efficient in image stitching.