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Expressway agglomerate fog visibility identification method based on dark channel prior theory

A dark channel prior, highway technology, applied in the field of highway fog visibility recognition, can solve problems such as traffic accidents, speed reduction, road capacity reduction, etc., to achieve high real-time performance, guaranteed accuracy, and simple algorithms.

Pending Publication Date: 2020-05-22
西安金路交通工程科技发展有限责任公司
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Problems solved by technology

Among them, foggy weather is a typical bad weather. The heavy fog makes the visibility of the expressway greatly reduced. On the one hand, the overall speed of the road is reduced, and the road traffic capacity is reduced; traffic accident

Method used

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  • Expressway agglomerate fog visibility identification method based on dark channel prior theory
  • Expressway agglomerate fog visibility identification method based on dark channel prior theory
  • Expressway agglomerate fog visibility identification method based on dark channel prior theory

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Embodiment Construction

[0015] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0016] An embodiment of the present invention provides a method for recognizing the visibility of expressway cloud fog based on the dark channel prior theory, such as figure 1 As shown, the method is implemented through the following steps:

[0017] Step 101: Perform dark channel conversion on the original image to obtain a dark channel image;

[0018] Specifically, the original image is segmented, part of the region is segmented, and then the smallest part is selected and assigned to the dark channel by traversing the segmented part of the region, and the dark channel image is obtained according ...

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Abstract

The invention discloses an expressway agglomerate fog visibility identification method based on a dark channel prior theory. The method comprises the steps that dark channel conversion is conducted onan original image to obtain a dark channel image, the image transmissivity of the dark channel image is obtained according to an atmospheric optical model and dark channel prior, an extinction coefficient is determined according to the image transmissivity, and visibility is determined according to the extinction coefficient. The method can guarantee the accuracy of the identification result andis simple in algorithm and is high in real-time performance.

Description

technical field [0001] The invention belongs to the technical field of visibility detection methods, and in particular relates to a method for identifying the visibility of cloudy fog on expressways based on the dark channel prior theory. Background technique [0002] In actual operation, highways are easily affected by bad weather. Among them, foggy weather is a typical bad weather. The heavy fog makes the visibility of the expressway greatly reduced. On the one hand, the overall speed of the road is reduced, and the road traffic capacity is reduced; traffic accident. Therefore, how to use expressway video to realize foggy visibility detection, timely discover low-visibility foggy weather and give an alarm is a powerful measure to improve expressway driving safety. Contents of the invention [0003] In view of this, the main purpose of the present invention is to provide an expressway fog visibility recognition method based on dark channel prior theory. [0004] In ord...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T5/30
CPCG06T7/11G06T5/30G06T2207/10016
Inventor 李得俊杨晓东李国强李威张羽西方涛
Owner 西安金路交通工程科技发展有限责任公司
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