Automatic lane line recognition algorithm based on improved Hough transform
To address the problems of cluttered road images in complex road conditions or lane lines that are not easily detected due to uneven illumination,Proposed an improved Hough transform based lane line detection algorithm.First,the algorithms preprocesses the original image,and uses the Canny operator to perform edge enhancement and region extraction on the image;to further improve the detection time and accuracy of the algorithm,it proposes to use sliding windows to achieve adaptive selection of thresholds;finally,a proposed algorithm for lane line detection under complex road conditions combined with asymptotic probability.The results show that the proposed algorithm can accurately extract the lane lines on the road,overcoming the effects of complex backgrounds and uneven illumination.Compared with similar algorithms,the proposed progressive probability Hough transform algorithm has certain practicality and superiority because of its short detection time and high accuracy.