Harris Scale Invariant Corner Detection Algorithm Based on the Significant Region
Peng Wu, Xu Hongling, LI Wen-lin, Song Wenlong · International Journal of Signal Processing Image Processing and Pattern Recognition · 2016
The traditional Harris corner detection algorithm is sensitive to scale change, corners detected throughout the entire image under complex background, thus extracting more false corners, lead to the follow-up of large amount of calculation and a high rate of error matching.To solve this problem, this paper proposes an optimized Harris corner detection algorithm.First, a significant region detection method is used to extract the target area, and take closing operation for the result figure, can effectively achieve target and background segmentation; second, scale invariant describing methods is applied to Harris algorithm, at the same time, combined with the non-maximum suppression methods to extract corners, get more right corners.Through experiment contrasts, the algorithm used in this paper can be improved more corner detection performance.