基于改进二维Otsu算法的车道线分割研究

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关键词：车道线分割；二维Otsu;二维直方图；二值图像

中图分类号：TP391 文献标志码：A 文章编号：1003-5168（2025）08-0034-08

DOI：10.19968/j.cnki.hnkj.1003-5168.2025.08.006

Abstract：[Purposes] The traditional lane line image segmentation algorithm has low recognition accuracy and is susceptible to noise interference， which affcts the performance of the lane departure warning system.Based on this，an optimal oblique dividing line threshold algorithm based on θ - divisionisproposed.[Methods] Firstly，the image collcted bythe vehicle camera is preprocessed by region of interest extraction，grayscale，filtering and denoising to obtain the image that is conducive to lane line segmentation.Secondly，combined with the two-dimensional Otsu algorithm，the two-dimensional histogram is segmented by using a threshold segmentation line rotating around the threshold point ，so that the twodimensional histogram is divided into two parts：the targetand the background，and the inter-class variance between the target and the background is calculated during the rotation of the threshold segmentation line，and the optimal threshold segmentation line is determined when it reaches the maximum.In this way，the boundary and noise region information in the 2D histogram is included in the segmentation decision.[Findings] The experimental results show that the improved algorithm improves the accuracy of lane line segmentation by and the anti-noise performance by . Even in the face of complex road scenes，the algorithm still performs well in lane segmentation.[Conclusions] The proposed algorithm can provide more reliable lane segmentation image for the folow-up lane detection，which is of great significance for the realization of lane departure warning system.

Keywords： lane line segmentation; two-dimensional Otsu; two-dimensional histogram; binary image

0 引言

当前，智能交通视频监控系统在交通管理、行政执法、刑事侦查和运输安全等领域中发挥着越来越重要的作用。（剩余6263字）