Detection And Recognition Of Urban Road Pollution Based On Video Image Processing

With the increasing development of urbanization, the urban road pollution is increasingly serious, relying only on sanitation worker found pollution, however, not only to spend a lot of manpower, and caused the pollution is not clear in time, cause certain influence to the roads clean. Not only that, some road pollution, such as dust pollution will produce certain harm to human body health, solid waste pollution will cause certain influence to the vehicle. Therefore, we need to design a kind of real-time automatic, save time and effort, the operation is simple road pollution detection identification system to detect urban road pollution.This paper proposes a urban road pollution detection based on video image processing and recognition methods, the main detection of road dust pollution and solid waste road pollution. Using relevant knowledge of pattern recognition and digital image processing, to set up on the urban road cameras video image acquisition, pollution detection and recognition. And used to extract image real-time background road, the road image shadow detection and removal, image characteristics and pedestrian road feature extraction and classification of image processing technologies such as pattern recognition technology. The method for identification of dust pollution and solid waste pollution has certain effect, found pollution compared with other people, this method has the advantages of time, for urban road environment protection has a certain role.