基于切线的弦角偏差（CADT），一种高效鲁棒的轮廓角点检测器
Chord Angle Deviation using Tangent (CADT), an Efficient and Robust Contour-based Corner Detector
摘要：
角点检测是计算机视觉和图像处理等众多应用中最基本的过程。在我们的论文中，我们提到了一些流行的基于轮廓的角点检测器。在所有这些检测器中，弦三角臂角（CTAA）已被证明是最主要的角检测器的平均重复性。本文介绍了一种新的计算曲率的有效方法。实验结果表明，我们提出的技术优于CTAA和本文提到的其他检测器。结果表明，我们提出的方法是简单而有效的，在寻找角点更准确和可靠。
英文摘要：
Detection of corner is the most essential process in a large number of computer vision and image processing applications. We have mentioned a number of popular contour-based corner detectors in our paper. Among all these detectors chord to triangular arm angle (CTAA) has been demonstrated as the most dominant corner detector in terms of average repeatability. We introduce a new effective method to calculate the value of curvature in this paper. By demonstrating experimental results, our proposed technique outperforms CTAA and other detectors mentioned in this paper. The results exhibit that our proposed method is simple yet efficient at finding out corners more accurately and reliably.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
