Visibility analysis method based on camera image

Abstract

The invention discloses a visibility analysis method based on a camera image, and belongs to the technical field of visibility. The core of the video visibility detection algorithm is to extract imagecharacteristic parameters capable of reflecting the influence of visibility change on images, so that the value of visibility is calculated by analyzing the image characteristic change. The road marking is used as a preset standard, the image contrast is used as an image characteristic parameter, the exponential distribution of the image characteristic along with the distance is analyzed, and thevisibility value is calculated through an image contrast threshold value at the critical visibility distance. According to the technical scheme provided by the embodiment of the invention, real-timeanalysis of images shot by cameras along the road is realized, quantitative measurement of visibility is completed, a reasonable judgment reference is determined, and errors which cannot be avoided byhuman eye measurement are reduced.

Description

technical field [0001] The invention relates to the technical field of visibility, in particular to a visibility analysis method based on camera images. Background technique [0002] The definition of daytime meteorological visibility by the World Meteorological Organization and the China Meteorological Administration refers to the maximum distance that a person with normal vision can see and identify the target object from the sky background under the prevailing weather conditions. It refers to being able to see and recognize the outline and shape of the target object. Anyone who cannot see the outline or shape of the target object clearly, or the luminous point of the target light is blurred and the light is scattered, cannot be counted as "visible". ". In the definition of visibility, the so-called "recognition" refers to seeing the outline of the target object clearly, and it can also refer to the brightness contrast (Contrast) observed by the human eye being greater ...

AI Technical Summary

Problems solved by technology

In terms of meteorological risk monitoring, observation instruments are usually set up at the frequent occurrence locations of meteorological risks along the road. Density Live Monitoring Requirements

Among the various meteorological risks affecting road traffic, low visibility caused by heavy fog or cloudy fog or heavy precipitation is the most common and has the greatest impact. If timely traffic control is not adopted, resulting in frequent traffic accidents, it is easy to become a traffic safety hazard. huge hidden danger

At the same time, if the traffic control time of prohibition is too long, although it can ensure safety, it will cause traffic congestion and cause huge time loss

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