Fast adaptive threshold for the Canny edge detector
Fast adaptive threshold for the Canny edge detector
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DOI：
10.1117/12.655238
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发表时间：
2005-10
期刊：
影响因子：
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通讯作者：
Zhi Wang;Qingquan Li;S. Zhong;Saixian He
中科院分区：
文献类型：
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作者：
Zhi Wang;Qingquan Li;S. Zhong;Saixian He
Canny边缘检测器广泛应用于计算机视觉中，用于定位图像中尖锐的强度变化和寻找物体边界。Canny边缘检测器通过迟滞阈值去除弱边缘，难以找到单峰梯度幅度分布的上下阈值。本文提出了一种基于在梯度幅度直方图中寻找边缘区域和背景区域的算法，能够快速自适应地执行迟滞阈值。在多种图像上验证了该方法的有效性，成功地应用于Canny边缘检测器。本文提出的快速自适应阈值Canny边缘检测器的检测结果优于固定阈值Canny边缘检测器的检测结果。利用本文的方法对各种实际数据进行了进一步的测试，得到了较好的阈值选择结果。实验结果表明，该算法具有快速自适应执行迟滞阈值的能力，通常优于固定上下阈值的Canny边缘检测器。
The Canny edge detector is widely used in computer vision to locate sharp intensity changes and find object boundaries in an image. The Canny edge detector removes the weak edges by hysteresis threshold and has difficulty to find upper and low thresholds with unimodal gradient magnitude distributions. In this paper, an algorithm, based on finding edge region and background region in the gradient magnitude histogram plot, is proposed which is capable of performing hysteresis threshold fast and adaptively. Its effectiveness is demonstrated on a variety of images, showing its successful application to Canny edge detector. The results of the fast adaptive threshold Canny edge detector we presented are better than the results of Canny edge detector with fixed threshold. Further tests are carried out on all sorts of real data using our method to select thresholds and get the good results. These demonstrate that the proposed algorithm is capable of performing hysteresis threshold fast and adaptively, often better than fixed upper and low threshold Canny edge detector that are run for comparison.