Multi-chord curvature polynomial algorithm for corner detection was proposed based on Chord-to-Point Distance Accumulation(CPDA) technique and curvature product.Firstly,the edge map was extracted by Canny edge detector.Then,at each chord,a multi-chord curvature polynomial was used as the sum or multiplication of the contour curvature.The new method can not only effectively enhance curvature extreme peaks,but also prevent smoothing some comers.To reduce false or missing detection made by experiment threshold,local adaptive threshold was used to detect corners.According to the detection capability,localization accuracy and repeatability of corner number criteria,experiments were made to compare the proposed detector with several recent corner detectors.The experimental results demonstrate that the proposed detector has strong robustness,its detection accuracy increases by 14.5％,and its average repeatability increases by 12.6％.%在弦到点的距离累加(CPDA)技术和曲率积的基础上,提出了多弦长曲率多项式的角点检测算法.首先利用Canny边缘检测器抽取边缘,然后对于不同弦长下边缘轮廓曲率局部极大值点,计算曲率的和；对于非极值点,计算曲率的积.该方法不仅可以显著增强曲率极值点的峰值,而且避免了曲率积对一些角点平滑.最后,为了降低人为设定门限带来的错检或漏检,利用局部自适应阈值去判别角点.实验结果表明,与其他的角点检测算法相比,该方法具有很强的鲁棒性,它的平均检测准确率提高了14.5％,而且在角点数重复率准则上平均性能提高了12.6％.
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