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Image preprocessing method for night lane line detection

A technology of image preprocessing and lane line detection, which is applied in the field of image processing, can solve problems such as the difficulty of lane line detection at night, low recognition of lane lines, and difficulty in lane line detection

Inactive Publication Date: 2015-01-07
CHERY AUTOMOBILE CO LTD
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Problems solved by technology

[0005] However, at present, due to the limited road surface illumination light source for lane markings at night, the overall brightness of the image is low, and the recognition of lane markings is low, which makes it still difficult to detect lane markings at night.
Through the observation of a large number of images of roads at night, it is found that the brightness value of the pixel corresponding to the white (or yellow) lane line area in the road image is low, and the low contrast with the pixel point of the non-lane line area is the root cause of the difficulty in lane line detection. reason

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  • Image preprocessing method for night lane line detection
  • Image preprocessing method for night lane line detection
  • Image preprocessing method for night lane line detection

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[0032] The present invention will be described in detail below according to the accompanying drawings, which is a preferred embodiment among various implementations of the present invention.

[0033] Adopt the method of the present invention, at first use C++ language to write night road image preprocessing software; Then video camera is installed on the car (both internal and external). Then, the front image is collected during the driving of the vehicle; then, the captured original image (640x480) is input into the night road image preprocessing software for processing.

[0034] For specific steps, refer to the attached figure 1 Shown:

[0035] Step 1: First collect an image, and count the number of pixels corresponding to all gray values ​​in the image. In the present invention, the collected image is an 8-bit grayscale image, so the grayscale ranges from 0 to 255.

[0036] Step 2: Calculate the gray levels of all the pixels in the image that are less than 7, and then se...

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Abstract

The invention relates to an image preprocessing method for night lane line detection. By means of image analysis of a night lane line, it is concluded that lane line information required by lane line detection is concentrated in the area with a high grey level, and a road surface and other useless information are basically concentrated in the area with a low grey level. In order to obtain a better contrast enhancement effect, the gray threshold cutting is conducted on the lane marking part and the road surface background part firstly, local histogram equalization is conducted on the lane marking part and the road surface background part respectively on the basis, so that the contrast ratio is enhanced.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to image transformation and understanding, and in particular to an image preprocessing method for lane line detection at night. Background technique [0002] Traffic safety has become a worldwide problem, so the impact of automobile safety on human life and property is self-evident. With the development of highways and the improvement of automobile performance, the speed of automobiles has also increased accordingly. In addition to the increase in the number of automobiles and the increasingly busy traffic, the casualties and property losses caused by the increase in automobile accidents have become a social problem that cannot be ignored. The driving safety of automobiles is even more important. However, the traditional passive safety is far from being able to avoid traffic accidents, so the concept of active safety is gradually formed and continuously improved. Due to its lar...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06V10/507G06V2201/09
Inventor 王海陈军谷明琴孙锐王继贞
Owner CHERY AUTOMOBILE CO LTD
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