Chord Angle Deviation using Tangent (CADT), an efficient and robust contour-based corner detector

Mohammad Asiful Hossain, A. Tushar
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引用次数: 6

Abstract

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.
弦角偏差使用切线(CADT),一个有效的和鲁棒的轮廓为基础的角检测器
在大量的计算机视觉和图像处理应用中,角点检测是最关键的过程。我们在论文中提到了一些流行的基于轮廓的角点检测器。弦与三角臂角检测器(CTAA)在平均重复性方面是最具优势的角检测器。本文介绍了一种新的计算曲率值的有效方法。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,该方法简单有效,能较准确、可靠地找到角点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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