Abrasion lane line detection method based on phase consistency Hough transform

Abstract

The invention discloses a worn lane line detection method based on phase consistency Hough transform. According to the method, an edge detection platform, a signal enhancement platform, a lane line extraction platform and the like are built. The edge detection platform forms an edge detection image by processing a shot original image of a lane line through each module; the signal enhancement platform selects a filtering module according to the target distribution of the to-be-detected signal to form a local texture target signal enhancement image; and the lane line extraction platform maps the enhanced image signal to a Hough space by using a Hough transformation method, adjusts and sets a local threshold value, detects straight line information of the lane line, and an output platform displays a detection and identification interface of the worn lane line. According to the method, the insensitivity of a phase consistency method to light brightness and the robustness of Hough transformation to straight line detection are adopted, automatic identification of the worn lane line under low contrast is realized in combination with a filtering enhancement method, and the technical problems that in an existing lane line detection technology, contour extraction is incomplete, and the identification accuracy is greatly influenced by light are solved.

Description

technical field [0001] The invention belongs to the technical field of image recognition, in particular to a method for detecting worn lane markings based on phase-consistent Hough transform, which utilizes phase features of worn lane marking images to extract line element information of weak lane marking signals under low contrast, In the case of obtaining as much edge information as possible of the lane markings, the lane markings are detected using the robustness of the Hough transform to straight line detection. Background technique [0002] The detection and recognition of lane markings is one of the key technologies in automatic driving and vehicle-road coordination technology. Accurate recognition of lane markings can ensure more accurate and safer warnings such as lane assistance, lane departure, and lane change. However, the lane markings will be worn after years of vehicle rolling and rain and snow erosion, and the wear of the road near the lane markings will cause...

AI Technical Summary

Problems solved by technology

However, considering that there are problems such as low contrast between the background image and the lane markings, uneven color of the lane markings, and discontinuous lane markings in the worn lane markings, the linear lane markings in the image space are not obvious. Generate missed detection

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