Automatic Image Mosaicing using Harris Corner Detector

Abstract

Mosaicing is a computer-vision-based approach to produce high field of view with best image quality. It is the process of generating a single, large, joined image by combining the visual options from multiple images .Image mosaics are set of overlapping images together with coordinate transformations regarding the different image coordinate systems. By applying the appropriate transformations via a warping operation and merging the overlapping regions of warped images, it is possible to build a single image covering the entire visible area of the scene. The proposed algorithm for Image Mosaicing using Harris Corner Detector and template matching for automatic control points’ selection has been discussed. The implementation section of the algorithm is discussed along with test results. The merits and demerits of the algorithms have been analyzed. We have used our own image datasets for experimenting.
DOI: 10.17762/ijritcc2321-8169.150711