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首页> 外文期刊>Journal of visual communication & image representation >Edge Drawing: A combined real-time edge and segment detector
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Edge Drawing: A combined real-time edge and segment detector

机译：边缘绘图：组合的实时边缘和片段检测器

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摘要

We present a novel edge segment detection algorithm that runs real-time and produces high quality edge segments, each of which is a linear pixel chain. Unlike traditional edge detectors, which work on the thresholded gradient magnitude cluster to determine edge elements, our method first spots sparse points along rows and columns called anchors, and then joins these anchors via a smart, heuristic edge tracing procedure, hence the name Edge Drawing (ED). ED produces edge maps that always consist of clean, perfectly contiguous, well-localized, one-pixel wide edges. Edge quality metrics are inherently satisfied without a further edge linking procedure. In addition, ED is also capable of outputting the result in vector form as an array of chain-wise edge segments. Experiments on a variety of images show that ED produces high quality edge maps and runs up to 10% faster than the fastest known implementation of the Canny edge detector (OpenCV's implementation).
机译：我们提出了一种新颖的边缘片段检测算法，该算法可以实时运行并产生高质量的边缘片段，每个边缘片段都是线性像素链。与传统的边缘检测器不同，该边缘检测器在阈值梯度幅度簇上工作以确定边缘元素，我们的方法首先沿称为锚点的行和列定位稀疏点，然后通过智能的启发式边缘跟踪过程将这些锚点连接起来，因此命名为Edge Drawing （ED）。 ED生成的边缘贴图始终由干净，完美连续，定位良好，一像素宽的边缘组成。无需进一步的边缘链接程序即可自然满足边缘质量指标。此外，ED还能够以矢量形式将结果输出为链式边缘段的数组。在各种图像上进行的实验表明，ED可以生成高质量的边缘图，其运行速度比已知最快的Canny边缘检测器（OpenCV的实现）快10％。

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