Effective Image Registration based on Improved Harris Corner Detection

Feature selection is a key step for image registration. The success of feature selection has a fundamental effect on matching image. Corners determine the contours characteristics of the target image, and the number of corners is far smaller than the number of image pixels, thus can be a good feature for image registration. By considering the algorithm speed and registration accuracy of the image registration, the paper proposes an improved Harris corner detection method for effective image registration. This method effectively avoids corner clustering phenomenon occurs during the corner detection process, thus the corner points detected distribute more reasonably, and the image registration become faster. The experiments also showed the effect of image registration is satisfactory, and reaches a reasonable match.