A Technical Analysis of Image Stitching Algorithm Using Different Corner Detection Methods
An image stitching is a method of combining multiple overlapping images of the same scene into a larger image without loss of information. Literature shows the use of various corner detection algorithms in image stitching. The most widely used are Harris corner detection method and SIFTS (Scale Invariant Feature Transform) method. In this paper, a comparative study is done forHarris corner detection algorithm and SIFT algorithm in image stitching using similarity mat rix matching scheme. Total 30 pairs of different images have been used for simulation and comparison. The algorithms have been compared with respect to number of corner detected, number of matching pairs and matching time. From the simulation results it has been observed that SIFT corner detection method is more efficient in image stitching.