Detection method and system of black smoke vehicle

A black smoke and motor vehicle technology, which is applied in the detection method and system field of black smoke vehicles, can solve the problems of low reliability, inability to effectively implement supervision and detection, and low efficiency, so as to improve detection efficiency and reduce computational complexity The effect of reducing the detection time

Active Publication Date: 2018-08-17
CENT SOUTH UNIV +1
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Problems solved by technology

The current domestic supervision method for smoky vehicles is mainly through road inspection and smoke-sensitive and light-sensitive composite detectors. The environmental protection department sets up checkpoints to check the exhaust of some suspicious vehicles. In the current rapid increase in the number of motor vehicles Under certain circumstances, the efficiency of this method is too low. The detector detects the black smoke emitted by motor vehicles through the black smoke particles and concentration, and can only play a detection role in a place relatively close to the exhaust outlet of the black-smoky vehicle. For traffic In places with a large road surface area, the reliability of detection is low, and the monitoring and detection functions cannot be effectively implemented

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  • Detection method and system of black smoke vehicle
  • Detection method and system of black smoke vehicle
  • Detection method and system of black smoke vehicle

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0057] The technical solution specifically adopted in the present invention is: first select a frame of pictures from the video collected by the monitoring camera, judge whether there is a motor vehicle through preliminary vehicle type identification, obtain the area around the outline of the motor vehicle, and then detect the black smoke area. The image undergoes a smoky color enhancement transform. After transforming the image, detect the MSER suspected black smoke area, exclude the MSER black smoke area that does not meet the MSER black smoke area, and merge the MSER area that meets the black smoke color and texture characteristics. Due to the texture features of the black smoke area and the irregularity of the contour area, it is judged by fitting the ratio of the major axis to the short axis of the ellipse in the suspected MSER black smoke area, an...

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Abstract

The invention discloses a detection method and system of a black smoke vehicle. The detection method of a black smoke vehicle includes the steps: through the image information acquired by a crossing monitoring device, based on the improved black smoke detection algorithm of the maximum stable extremum region, performing color enhancement transformation on the black smoke region to highlight the black smoke region in the acquired image after transformation; and detecting the maximum stable extremum region on the image which is obtained through transformation, segmenting the black smoke region,thus avoiding the defect that a traditional method based on color information cannot accurately segment black smoke, accelerating the speed of detecting the black smoke vehicle, and greatly reducing the complexity of detecting the black smoke vehicle. The detection system of a black smoke vehicle is convenient to operate, and has bigger market application space.

Description

technical field [0001] The invention belongs to the field of motor vehicle exhaust detection, in particular to a method and system for detecting black smoke vehicles. Background technique [0002] Maximum Stable Extremum Region (MSER) ​​is a speckle region detection that can be used in images. This algorithm was first proposed by Matas et al. in 2002, and it is based on the concept of watershed. The basic principle of MSER is to binarize a grayscale image (with a grayscale value of 0 to 255) by thresholding. The threshold increases sequentially from 0 to 255. As the water rises, some relatively low hills will be submerged. If you look down from the sky, the land is divided into two parts, land and water, which is similar to a binary image. In all the obtained binary images, some connected domains of the binary image have little or no change, and this area is called the largest stable extremum area. This is similar to that when the water level continues to rise, the area of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/34G06N3/02
CPCG06N3/02G06V20/54G06V10/267G06V10/44G06V2201/08
Inventor 张昊刘谋德赵杰岩孙学君
Owner CENT SOUTH UNIV
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