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Lane line image enhancement algorithm based on A law 13 broken line

An image enhancement, lane line technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as image enhancement, achieve the effect of balanced picture, improve accuracy, and reduce the interference of strong light

Pending Publication Date: 2020-06-02
JIANGSU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a lane line image enhancement algorithm based on the A-law 13-fold line to solve the image enhancement problem under uneven light

Method used

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  • Lane line image enhancement algorithm based on A law 13 broken line
  • Lane line image enhancement algorithm based on A law 13 broken line
  • Lane line image enhancement algorithm based on A law 13 broken line

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0042] The flow chart designed according to this algorithm is as follows: figure 1 shown, according to figure 1 The flow shown will be further explained as follows in conjunction with the accompanying drawings:

[0043] (1) Use the on-board camera to collect images of the road ahead during driving;

[0044] (2), in the collected image, divide the region of interest where the lane line is located, and convert it to HSL mode, and separate yellow and white from the HSL image;

[0045] (3), the separated HSL is combined with the original image and grayscaled;

[0046] (4), according to the gray value range of the image, the gray value of the image is normalized, and the interval of the gray value is 0~1;

[0047] (5), use the A-law 13 fold line companding algorithm to enhance the non-uniformity of the gray value of different pixels;

[0048] Take the ori...

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Abstract

The invention discloses a lane line image enhancement algorithm based on an A law 13 broken line, and solves the problem of image enhancement under non-uniform light. According to the method, after normalization processing is carried out on the gray value of the gray image, the A law 13 broken line companding algorithm is adopted to carry out non-uniform companding on the gray value of the image,and enhancement of different multiples can be carried out on different original gray values in the enhancement process of the gray image. According to the non-uniform image enhancement algorithm provided by the invention, high-magnification enhancement can be carried out on low-brightness pixel points and low-magnification enhancement can be carried out on high-brightness pixel points at the sametime, so that the whole picture degree is more balanced, the interference of strong light is weakened, and the accuracy of lane line recognition is greatly improved; and the digitalization of the enhanced image can be directly realized, and the image processing speed is improved.

Description

technical field [0001] The invention relates to the field of lane line detection and recognition of intelligent vehicles, in particular to a lane line image enhancement algorithm based on an A-law 13-fold line. Background technique [0002] In vehicle active safety technology, many technologies require lane recognition and detection. For example: lane departure warning system, lane keeping assist system, driving assistance system, etc. In the existing lane line detection technology, a frame of image is captured by a monocular camera, and then the region of interest (ROI) of the image is cut out, converted into a grayscale image after binarization, and then Gaussian filtering is performed on the image to reduce noise. Finally, edge detection is performed on the image, and then the lane lines in the image are detected using Hough Transform according to the edge detection result. However, the preprocessing results of the existing detection algorithms are not ideal, especially...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/30256G06T5/94Y02T10/40
Inventor 何友国李宁郭柯屹管家晨
Owner JIANGSU UNIV