The Application Of The Image Recognition Technology On Large Space Architecture Fire Detection

With the development of social and the progress of technology, especially the sharp increase of the city population and fast growth of the modernization, there have been more and more high buildings and large space. As a worldwide research topic, large space fire has been paid attention to by more and more researchers. The large space buildings have some features such as fast spreading, difficulties in extinguishing and rescuing, so there is an increasing urgent demand that how to protect effectively and detect as early as possible. As a newly developed technology, the fire detection technology has been widely used and shows its excellent capabilities.The principle of fire occurring, three develop stages and characters of every stage have been discussed systematically in the dissertation. The physical characteristics and image features of early fire have been discussed systematically. The difference is also studied between conventional and new-style fire detection techniques by analyzing the disadvantages of conventional fire detection. The concept of image recognition and processing technology, calculation and research of image processing and composition of image processing system have been introduced in detail as well.In this dissertation, by the aid of digital image processing technique, the large space fire detection technique is investigated, the superiorities of large space fire detection using infrared image recognition method was expatiated and characteristics of large space fire infrared image are analyzed, and image denoising and edge extracting were two key steps in large space fire image recognition. The method of threshold denoising based on wavelet transform can resolve the problem caused by traditional denoising methods. Mathematical morphology watershed method is adopted in the dissertation to detect the edge of fire image. The effects of denoising and edge detection are verified by experiment.As the large space height and area influence the diffusing of burning production, traditional detectors are hard to detect effectively. This dissertation uses the CCD camera with an infrared filter to collect infrared images, dispose the image with dual-band treatment after pretreatment and anti-jamming. The pixel corresponding to every temperature is a fixed ratio in the selected dual-band, according to which to detect the fire. Adopting the tactic, the system can eliminate the influence on long-distance fire detection and play a significant role on large area fire detection.