A video image stability judgment and video-based tunnel brightness detection method
A video image and brightness detection technology, applied in the field of video image processing and visibility detection, can solve the problem of not considering how to detect the brightness of the tunnel, and achieve the effect of expanding the scope of application
Inactive Publication Date: 2019-05-21
CHANGAN UNIV
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Patent No. CN202396058U Chen Rong, Lin Zhuhui and other highway tunnel lighting brightness adaptive control systems, under the logic analysis and processing of various software algorithms, can control the brightness of lamps in the tunnel in real time or at regular intervals, realize intelligent control of tunnel lighting brightness, and meet tunnel driving safety requirements The adaptive control under the maximum energy saving, however, does not consider how to detect the brightness problem inside the tunnel
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[0049] The camera configuration adopted in the present invention is the PAL color television system, after fully considering the visual characteristics of the human eye and the non-linear characteristics of the cathode ray tube (CRT), according to the importance of the component values in the color image, the three color components R, G, B are weighted average with different weights. Among them, Y is the brightness (Luminance), which reflects the brightness level, and the brightness formula is:
[0050] Y=0.299R+0.587G+0.114B
[0051] That is to use the YUV model to convert the collected color image into a grayscale image in the preprocessing stage, that is, convert the RGB color space to the YUV color space, and then only analyze and process Y, and the brightness information Y can display the complete brightness image, which can not only improve the speed of subsequent algorithms, but also save memory space and meet more ideal requirements.
[0052] The present invention ...
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The invention discloses a video-based tunnel brightness detection method. The method comprises the steps of proposing a video image stability detection algorithm used for ensuring that a used camera has high stability; performing distortion correction processing on a video image shot by the camera through a checkerboard calibration method; detecting and correcting the uniformity of image sensors of the camera; extracting an initial color background image of a video; accurately setting a detection region and then performing image element extraction by using a constant-interval two-row two-column pixel calculation method; and determining a brightness detection algorithm based on actually measured brightness and a relationship among detected image elements R, G and B. According to the scheme provided by a video-based tunnel brightness detection system, by utilizing continuous video image frames collected by the camera, a surface layer can be subjected to continuous brightness detection and a real-time brightness value can be provided for an illumination monitoring computer.
Description
technical field [0001] The invention relates to the technical fields of video image processing and visibility detection, in particular to a video-based tunnel brightness detection method. Background technique [0002] In tunnel system design and engineering construction, lighting occupies a very important position. Because the tunnel environment is relatively closed and does not receive direct sunlight like ordinary roads, the brightness of the tunnel will be low compared to the brightness of the outside world. Therefore, tunnels need to use artificial lighting to provide drivers with suitable visual lighting conditions, which requires the lighting system to meet the best lighting requirements for drivers to ensure traffic safety and reduce the incidence of traffic accidents. In the tunnel mechanical and electrical system, the lighting system is the part with the highest energy consumption. Reducing energy consumption under the premise of ensuring the safe driving of vehicl...
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IPC IPC(8): G06T7/11G06T7/80G06T7/90
CPCG06T2207/10016G06T2207/20032
Inventor 李曙光王珂折胜军
Owner CHANGAN UNIV