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Visualized distance detection method based on image processing

A distance detection and image processing technology, applied in the field of visual distance detection based on image processing, can solve the problems of high image quality requirements, difficult to use in a wide range of layout, complicated installation methods, etc.

Active Publication Date: 2016-08-24
TONGJI UNIV
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Problems solved by technology

[0002] The driving visual distance of expressway is an important factor affecting traffic safety. Traditional visibility detection indicators are easily affected by lighting conditions, ambient temperature, rain and snow, etc., and it is difficult to accurately reflect the actual visual distance of the driver. Moreover, the visibility meter is expensive and expensive. The erection method is complicated, and it is difficult to deploy and use on a large scale
[0003] The existing low-visibility video detection algorithm research is mainly pixel contrast algorithm, which adopts the 0.05 human eye visible contrast threshold specified by CIE, including: calculation method based on data correction, calculation method of visibility meter correction, and calculation method of camera self-calibration; In addition, there are methods of visibility detection based on the brightness of the road surface. These methods are based on the analysis of the ordinary image itself, so the image quality is relatively high. When the quality of the acquired image is low, there is no research significance. At the same time, the proper processing of images and certain deficiencies of related hardware circuits (such as hardware delay, etc.) are also bottlenecks of this type of method.

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  • Visualized distance detection method based on image processing

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Embodiment

[0039] The purpose of the present invention proposes a simple model algorithm, which only detects the low visibility range less than 300m, and proposes a concept of visibility specially suitable for expressways. This model mainly focuses on the scene seen by the driver and reflects the real human eyes Visible distance. Finally, an economical detection method is tailored for expressway visual distance detection, and real-time detection and early warning are realized.

[0040] Basic principle train of thought of the present invention is:

[0041] The direct impact of low visibility on drivers is insufficient viewing distance. The smaller the viewing distance, the smaller the distance of the farthest object that the human eye can see, and the fewer the number of objects in the ordinary image. Then as the viewing distance decreases, the amount of continuous scenes will decrease regularly. Therefore, the reduction of the visible distance can be inversely deduced by quantifying th...

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Abstract

The invention relates to a visualized distance detection method based on image processing. The method includes the steps of acquiring a common image under a current scene and obtaining the total number of edge pixel points, obtaining the total number of infrared thermal image edge pixel points under corresponding scene and corresponding infrared thermal image correction coefficient, establishing a visibility model, and calculating the visibility under current scene according to the visibility model, obtaining corresponding visualized distance by comparing with a stored visibility lookup table, wherein the visibility lookup table contains mapping relations between standard visibility value and visualized distance under different scenes. Compared with the prior art, the method is simple, has lower requirements on image quality and ensures higher detection precision.

Description

technical field [0001] The invention relates to a visual distance detection method, in particular to a visual distance detection method based on image processing. Background technique [0002] Driving visual distance on expressway is an important factor affecting traffic safety. Traditional visibility detection indicators are easily affected by lighting conditions, ambient temperature, rain and snow, etc., and it is difficult to accurately reflect the actual visual distance of the driver. Moreover, the visibility meter is expensive and expensive. The erection method is complicated, and it is difficult to deploy and use on a large scale. [0003] The existing low-visibility video detection algorithm research is mainly the pixel contrast algorithm, which adopts the 0.05 human eye visible contrast threshold stipulated by CIE, including: the calculation method based on data correction, the calculation method of visibility meter correction, and the calculation method of camera se...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10048
Inventor 杜豫川张晓明刘成龙李峰
Owner TONGJI UNIV
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