Vehicle safety auxiliary video image processing method

An auxiliary video and image processing technology, applied in image data processing, image enhancement, instruments, etc., can solve the problems of limited observation distance, high cost, single function, etc., and achieve the effect of driving safety.

Active Publication Date: 2014-04-23
KEDUN TECH CO LTD
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Problems solved by technology

There are two methods for this type of system. One is to use thermal imaging technology, but there are problems of blurred images and expensive prices. Instead, visible light cameras are used, but in severe weather conditions such as

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  • Vehicle safety auxiliary video image processing method

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[0036] In an embodiment, a method for processing an auxiliary video image for vehicle safety, which processes images collected by a vehicle-mounted camera device, including image enhancement, noise reduction, glare suppression methods, road line detection methods, and obstacle monitoring methods, wherein The methods of image enhancement, noise reduction, and strong light suppression are:

[0037] a. Analyze each frame of the video separately, first smooth the image to remove the noise in the image, and then get the histogram H of the image and the normalized variance C of the image, because the content of the video image changes greatly A single image processing algorithm parameter cannot be applied to different video scenarios. For actual video processing algorithms, adaptive image processing methods must be used. These methods first need to analyze the image to obtain the statistical information of the image. The basis for setting parameters;

[0038] b. Apply an improved multi-...

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Abstract

The invention discloses a vehicle safety auxiliary video image processing method. Images acquired by a vehicle-mounted video device are processed. The method comprises the image enhancement, noise reduction and strong light inhibition method, the road line detection method and the obstacle monitoring method. According to the processing method of the invention, the improved Retinex algorithm is adopted to perform local enhancement on the images, and at the same time, the dynamic histogram mapping algorithm is adopted to perform overall image enhancement, the two enhancement results are combined in the weight form to obtain the final enhanced images, effects, such as image enhancement, noise elimination, color sharpening, etc., can be realized, the image contrast and definition can be improved to obtain images which are close to the original images and conform to human visual characteristics, and characteristics of road line detection and obstacle distance measurement can be realized.

Description

technical field [0001] The invention belongs to the technical field of vehicle equipment, and relates to a video image processing method for assisting vehicle safety. Background technique [0002] With the increase in the number of cars, traffic safety has become the focus of social attention. To reduce traffic accidents and ensure driving safety is a concern of people. Vehicle safety assisted driving systems have also become one of the research hotspots of current vehicle systems. At present, the vehicle safety driving assistance system mainly obtains rich road environment information through video acquisition technology for the driver's reference when driving. There are two methods for this type of system. One is to use thermal imaging technology, but there are problems of blurred images and expensive prices. Instead, visible light cameras are used, but in severe weather conditions such as fog, snow, and haze, the amount of information obtained is insufficient. , the prob...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 宋优春宋永生张寅生林春亮郭忠岳赵浩志
Owner KEDUN TECH CO LTD
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