Visibility detection method based on optical model and dark primary color priori theory

Abstract

The invention discloses a visibility detection method based on an optical model and a dark primary color priori theory. The method comprises the following steps of: (1) acquiring a correlative parameter required by visibility computation according to an imaging model of a video sensor; (2) acquiring a traffic video image 1 by using the arranged video sensor; (3) acquiring the transmissivity t(x) of the acquired image on the basis of the dark primary color priori theory; (4) refining the transmissivity acquired in the step (3) by using a multipoint anisotropic Gaussian filter and bilateral filtering; (5) substituting the transmissivity acquired in the step (4) into the inflection points, varying along the vertical direction, of a video image gray value and a function expression of the transmissivity in order to obtain the coordinates of the inflection points; and (6) substituting the vertical coordinate values of all the inflection points into a visibility detection model in order to determine a visibility value. The visibility detection method may satisfy visibility computation in complex scenes containing inhomogeneous pavements, shielded pavement signs, or multiple targets.

Description

technical field [0001] The invention belongs to image processing technology, in particular to a visibility detection method based on an optical model and dark channel prior theory. Background technique [0002] With the continuous development of my country's expressway network construction, the number of fog-prone road sections and the number of serious traffic accidents caused by fog are increasing. If the group fog can be predicted, relevant information can be released in time to avoid traffic accidents. However, the fog known as the "flow killer" has the characteristics of strong suddenness, easy drift, and small range. These factors make the traditional weather monitoring methods unable to realize the prediction of fog. [0003] According to the value of visibility and its change law, the prediction of cloud fog can be realized. Therefore, my country's expressway management departments usually use artificial visual inspection and meteorological equipment monitoring to...

AI Technical Summary

Problems solved by technology

[0029] The purpose of the present invention is to overcome the problem that the existing methods are usually based on the detection of visibility under ideal scene conditions, and cannot adapt to the application requirements of complex scenes such as non-homogeneous road surfaces, blocked road signs, and multiple targets. Visibility detection method in complex scenes based on visibility calculation model construction, inflection point detection and transmittance refinement

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