# [1]郑倩,刘珊,邓璐娟,等.基于平行四边形对角线理论的角点检测算法[J].郑州大学学报(工学版),2021,42(04):19-25. 　Corner detection algorithm ba＜x＞sed on parallelogram diagonal theory[J].Journal of Zhengzhou University (Engineering Science),2021,42(04):19-25. 点击复制 基于平行四边形对角线理论的角点检测算法() 分享到： var jiathis_config = { data_track_clickback: true };

42

2021年04期

19-25

2021-07-30

## 文章信息/Info

Title:
Corner detection algorithm ba＜x＞sed on parallelogram diagonal theory

A

Abstract:
ob＜x＞jective Corner detection is one of the fundamental topics in image processing and computer vision. The complexity of the construction of the corner response function or the multiple smoothing of the curve often restricts detection efficiency of the corner detection scheme. Thus, in this paper we propose a novel method for image corner detection ba＜x＞sed on the diagonal of a parallelogram to estimate the curvature value. Method First, the Canny edge detector is used to extract each edge contour from the input image. Second, we smooth curves using anisotropic Gaussian directional derivative filter, and estimate the discrete” curvature of each pixel on the curve according to the corner response function proposed in this paper. And then, non-maximum suppression is applied to the candidate corner sets. Finally, the refined corner sets are retained with unstable and false corners removed. Result Compared with the existing five contour-ba＜x＞sed corner detection algorithms, the proposed algorithm does not require square root operation. The extensive experiments showed that the developed method gives the highest average repeatability and low localization error than the five other detectors, while the corner detection speed is about 3 times that of CTAR. Conclusion A new and fast contour-ba＜x＞sed corner detection algorithm is proposed, which uses ratio of the diagonals of the parallelogram (FRPD) to calculate the corner response function reducing the computational complexity. The proposed method shows excellent performance in terms of detection accuracy, noise robustness and can be applied to corner extraction from medical images