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Extraction of single-pixel-width single edge using dynamic thresholding for lane detection on structured roads

机译:使用动态阈值对结构道路上的动态阈值下阈值提取单像素 - 宽度单边缘

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Traditional edge extraction algorithms usually suffer from drawbacks such as difficult selection of thresholds, serious interferences outside the lane, and redundant pixels at the lane edges when used for the lane detection on structured roads. This study proposed a new edge extraction algorithm by using dynamic thresholding. More precisely, for each row of an edge-enhanced image, by scanning from middle towards both left and right, two sets of dynamic thresholds were built by collecting three dominant pixel values along each direction, and a unique edge position was marked simultaneously at each side by using the corresponding threshold set. This thresholding strategy can provide the most concise yet adequate edge points for forming a single-pixel-width single edge of a lane marking, with particular improvements in the presence of interferences from illuminations and shadows, and with significant reduction of the computation load for the subsequent lane detection, as is demonstrated through experiments.
机译:传统的边缘提取算法通常遭受诸如困难选择的阈值,车道之外的严重干扰,并且在结构道路上用于车道检测时的车道边缘的冗余像素。本研究通过使用动态阈值化提出了一种新的边缘提取算法。更精确地,对于边缘增强图像的每一行,通过从中间朝向左右扫描,通过沿每个方向收集三个主导像素值来构建两组动态阈值,并且每个唯一的边缘位置都在每个方向上标记通过使用相应的阈值集合。该阈值策略可以提供最简洁的且足够的边缘点,用于形成车道标记的单像素宽度单边缘,在照射和阴影的情况下,具有特定改进的干扰,并且可以显着降低计算负荷随后的车道检测,通过实验证明。

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