An Improved Corner Detection Algorithm Based on Harris

Abstract

Aiming at the problems that the traditional Harris corner detection algorithm could extract more flase corner points and computational complexity when performing corner extraction on the image, an improved Harris corner detection algorithm is proposed. First, the B-spline function is used to replace a Gaussian window function for smoothing filtering, then the corner points are pre-selected to obtain candidate corners. Finally, in order to improve the adaptability of the algorithm, an auto-adaptive threshold method is used when the non-maximum value is suppressed. Experimental results show that this algorithm improves the detection accuracy and efficiency, and has good corner detection performance.