Method for detecting local road segment hazy weather based on road image

An image detection and haze technology, applied in the field of computer vision, can solve problems such as limiting the level of road management, and achieve the effect of reducing investment, improving operational services and safety levels, and improving work efficiency

Active Publication Date: 2014-12-24
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

At present, the technology and means of most domestic roads, especially the expressway system, in terms of road condition monitoring, road data collection and performance evaluation are still far behind the development requirements, and to a certain extent, they have become obstacles that limit the further development of my country's road management level. bottleneck

Method used

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  • Method for detecting local road segment hazy weather based on road image
  • Method for detecting local road segment hazy weather based on road image
  • Method for detecting local road segment hazy weather based on road image

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Embodiment Construction

[0027] For the convenience of describing more clearly the details of the present invention, the main steps in the present invention are described in detail as follows:

[0028] Step 1: Extract the edge image. In this embodiment, the Canny operator is taken as an example to extract an edge image, and the edge points are the visible points.

[0029] Step 2: Locate the suspected haze area. Count the number of visible points in each line of the image, scanning line by line from top to bottom. When the number of visible points in any row is greater than the threshold, it is judged that the area above the row is a suspected haze area.

[0030] Step 3: Determine the haze area. The gradient image of the suspected haze area is extracted, and the pixel gradient is counted. When the gradient distribution is concentrated at 0, the area is judged to be a sky area, otherwise, the area is determined to be a reliable haze area.

[0031] Step 4: Extract the traffic sign lines in the road p...

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Abstract

The invention discloses a method for detecting local road segment hazy weather based on a road image. The digital image processing method is adopted to automatically detect the hazy weather condition of a road and achieve automatic alarm. Hazy weather detection comprises positioning a suspected hazy area, removing an air area, evaluating frame visibility and estimating the hazy weather class. According to the method, the hazy weather condition existing in a road monitoring video can be accurately detected in time, manual interpretation is replaced, workloads are reduced, and efficiency is improved.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a fog and haze weather detection based on road images. Background technique [0002] The development of highways has made people's travel more convenient, and it has also strongly promoted the rapid progress of my country's economic construction. However, with the rapid expansion of the highway system, the requirements for road maintenance are also constantly increasing. At present, the technology and means of most roads in China, especially the expressway system, in terms of road condition monitoring, road data collection and performance evaluation are still far behind the development requirements, and to a certain extent, it has become a barrier to the further development of my country's road management level. bottleneck. [0003] Hazy weather has a serious impact on traffic safety. The number of traffic accidents caused by hazy weather is increasing day by day. Howev...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/38G01N15/06
Inventor 吴晓袁萍陈俊周何俊彦彭强
Owner SOUTHWEST JIAOTONG UNIV
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