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Adaptive algorithm for corner detecting based on the degree of sharpness of the contour

机译:基于轮廓锐度的自适应角点检测算法

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摘要

We propose an adaptive corner detector based on the degree of sharpness of the contour, which can detect the corners efficiently and accurately. First, we extract edges from an image using an edge detec-tor, such as Canny, Sobel, etc. Second, we define a degree-of-sharpness variable and calculate its value for each point on the edge. Then we use an adaptive threshold of the degree of sharpness to find the initial corner candidates for each edge. Third, we propose a method of making a pro-jection for an edge segment toward the edge's fitting line to remove salient points. Finally, if some neighboring corner candidates are detected in a support area, we offer an effective method to merge them into one point, and the final corners are reserved. The proposed detector is compared to a classical corner detector and two state-of-the-art methods on planar curves and gray-level images, respectively. The experimental results show that the proposed detector has high correctness in finding true corners. In addition, the algorithm is robust to the additive noise and can detect the Circular contour well.
机译:我们提出了一种基于轮廓锐度的自适应拐角检测器,它可以高效,准确地检测拐角。首先,我们使用Canny,Sobel等边缘检测器从图像中提取边缘。其次,我们定义了清晰度程度变量,并为边缘上的每个点计算其值。然后,我们使用清晰度的自适应阈值来找到每个边缘的初始角候选。第三,我们提出一种向边缘拟合线向边缘段投射的方法,以去除凸点。最后,如果在支持区域中检测到一些相邻的角点候选,我们提供一种有效的方法将它们合并为一个点,并保留最后的角点。将拟议的检测器与经典的角检测器和分别在平面曲线和灰度图像上的两种最新方法进行了比较。实验结果表明,所提出的检测器在寻找真实角点时具有较高的正确性。另外,该算法对加性噪声具有鲁棒性,并且可以很好地检测圆形轮廓。

著录项

  • 来源
    《Optical engineering》 |2011年第4期|p.047008.1-047008.10|共10页
  • 作者单位

    Shanghai Jiao Tong University Institute of Image Processing and Pattern Recognition No. 800 Dong Chuan Road Shanghai, Shanghai 200240 China;

    Shanghai Jiao Tong University Institute of Image Processing and Pattern Recognition No. 800 Dong Chuan Road Shanghai, Shanghai 200240 China;

    Shanghai Jiao Tong University Institute of Image Processing and Pattern Recognition No. 800 Dong Chuan Road Shanghai, Shanghai 200240 China;

    Shanghai Jiao Tong University Institute of Image Processing and Pattern Recognition No. 800 Dong Chuan Road Shanghai, Shanghai 200240 China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    corner detectors; sharpness; circular contour; neighboring corner candidates;

    机译:拐角探测器;锐度圆形轮廓邻角候选;

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