Research on Detection Algorithm of Roadway Line on Structured Road Based on Vision

Abstract

To solve the problem of low efficiency of lane recognition in different structured road environments, an improved Hough transform algorithm is proposed. Firstly, every frame of image in the video stream is processed by gray scale and inverse perspective transformation, so as to reduce the amount of data and improve the accuracy of lane recognition. Then, median filtering and wavelet hard threshold denoising are combined to remove noise and improve image quality. Secondly, the image is binarized and edge detected by OTSU algorithm and Sobel operator, and the lane feature information is extracted. Finally, the traditional Hough transform algorithm is improved, and the slopes and points of the selected straight lines in the feature area are averaged, and then a new straight line is obtained and displayed in the image. Simulation experiments show that the algorithm has good applicability and reliability in different structured road environments, and achieves the expected experimental results.