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Lane line recognition algorithm based on threshold segmentation and continuity of lane line

机译:基于阈值分割和车道线连续性的车道线识别算法

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In this paper, a new threshold segmentation algorithm is proposed for lane line identification. First of all, in the image preprocessing stage, the gray image is binarized by threshold algorithm based on median filter and Flood Fill algorithm. Then, the binary image is input to the line segment detector (LSD) algorithm. Finally, Non-lane markings are removed through geometric characteristics and continuity of lane line. The algorithm has good robustness, real-time performance, success rate and accuracy.
机译:本文提出了一种新的阈值分割算法,用于车道线识别。首先,在图像预处理阶段,通过基于中值滤波和泛洪算法的阈值算法对灰度图像进行二值化处理。然后,将二进制图像输入到线段检测器(LSD)算法。最后,通过车道线的几何特征和连续性去除非车道标记。该算法具有良好的鲁棒性,实时性,成功率和准确性。

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