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Dark channel experience and minimal image entropy based traffic smog visibility detection method

A dark channel prior and detection method technology, applied in the field of traffic haze visibility detection method and detection system

Active Publication Date: 2016-09-07
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a road video image traffic haze visibility detection method, accurately estimate the atmospheric extinction coefficient, and effectively solve the difficulty of accurately estimating the atmospheric visibility under daytime haze conditions

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  • Dark channel experience and minimal image entropy based traffic smog visibility detection method
  • Dark channel experience and minimal image entropy based traffic smog visibility detection method
  • Dark channel experience and minimal image entropy based traffic smog visibility detection method

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Embodiment Construction

[0065] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0066] A traffic haze visibility detection method based on dark channel prior and minimum image entropy, including image acquisition module, image feature extraction module, road area extraction module and visibility detection module. Such as figure 1 As shown, in the image acquisition module, the original input image is collected by the surveillance camera electronic equipment under daytime fog and haze conditions, and one frame is selected as the image to be detected.

[0067] The image feature extraction module obtains a rough estimate of the atmospheric transmittance through dark channel prior processing on the image I to be detected; uses a guided filter edge smoothing operator to smooth and refine the rough estimate of the transmittance to obtain a finer Transmittance: Combining the optimized transmittance with the lane line informa...

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Abstract

The invention relates to a dark channel experience and minimal image entropy based traffic smog visibility detection method. In an image feature extraction module, dark channel experience processing is carried out on an image I to be detected to obtain a rough estimated value of the air transmittance, a guiding and filtering edge smoothing operator is used to smooth and refine the rough estimated value of the transmittance, and depth information of each pixel point is obtained; in a road area extraction module, a road area is extracted from the image I in an area growth method, and area growth comprises the steps including setting an initial seed point, setting a target growth area, calculating the minimum of adjacent gray scale difference, determining whether a target pixel belongs to the road area and updating the seed point; and in a visibility estimation module, the minimal image entropy of the area is calculated, an optimal value of the extinction coefficient is obtained, and the smog visibility is estimated effectively. The detection method has the advantages that a target interest area extraction step is added to an image entropy solving process, the computation amount is reduced, and the operation speed and robustness are improved.

Description

technical field [0001] The invention relates to image enhancement and restoration technology, in particular to a traffic haze visibility detection method and detection system based on dark channel prior and minimum image entropy. Background technique [0002] Atmospheric visibility reflects the degree of air pollution in an area and can also affect human health and traffic safety. In particular, the appearance of smog will make visibility very poor and cause many problems: people's daily travel will become very inconvenient, and drivers need to pay more attention and react faster to avoid traffic accidents. All in all, visibility detection becomes extremely necessary and meaningful. [0003] The image inflection point method is a classic technique for haze visibility detection based on video images. According to the visual characteristics of the human eye, the position corresponding to the visibility is just the dividing point between what is visible and invisible when the ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/32G06K9/46
CPCG06T7/0002G06T2207/30192G06V10/25G06V10/60
Inventor 周凯成孝刚李海波谢世朋熊健谈苗苗
Owner NANJING UNIV OF POSTS & TELECOMM
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