Comparative analysis of methods for detecting special points in images at different levels of illumination

In this article, we have carried out a comparative analysis of methods for detecting special points in an image, which is part of the study on developing an around view system for large vehicles. Because nighttime is especially dangerous for driving and most difficult for stitching images, this article focused on the possibility of detecting special points and stitching in low illumination. We made a comparative analysis of the methods for detecting special points in images, developed a technique and conducted experiments to find special points in images using such methods as SURF, MSER, BRISK, Harris, FAST and MinEigen. During the study, we have performed a search for identical special points for a pair of images, an analysis of their number and stitching of images by different methods at different levels of illumination. The results of the experiments are given in graphs and tables.