Research On The Technology Of Fire Detection Based On Image Processing

With the development of China's socio-economic and the progress of scientific and technological, particularly the dramatic increase of the urban population and the rapid process of urbanization development, large spaces building is becoming more and more. Because the fire which happens in the large space building spreads fast and is easy flashover, make the fire'fighting becomes difficult, so the research on fire safety and prevention technology in large space buildings has strong practical significance and practical value.With the development of the computer-vision and computer capacity, automatic inspection for configuration based on image has become favorable question for study. Based on the advantage of the image processing and high-speed calculating-ability of the computer language, this system is developed with analyzing the information of fire image. This paper puts emphasis on the technical research of flame image recognition, and utilizes the image's features about color and morphology. Included development acquiring image, pre-processing image, analyzing and image recognition. The aim is to design and realize the whole fire detection and auto-put-out system using software.The main content of this paper include fire flame video image recognition algorithm principle and the position of the fire algorithm. This paper designed a image-fire monitoring system based on image processing according as the flame image and the characteristics of infrared imaging Fire detection and auto-put-out technology based on image processing is to use CCD camera as the probe, and make the color and ultra-red images in the watch scene input into the computer, then using the algorithms of image processing, to recognize whether there is fire occurring from images. If there is fire occurring, calculate the space position of the fire, and start the auto-put-out system and alarm system automatically after image processing. The aim is to design and realize the whole fire detection and auto-put-out system using software.We study the visual characteristics of the flame, and specifically analyze the fire flame in the video frame image sequence on the signal characteristics, and establishment mathematical model and design recognition algorithm for these characteristics, and bring forward feature extraction algorithm based on image gray value. For improving efficiency, the algorithm of region segmentation is brought forward. On the technology of auto-put-out fire, the thesis researches the method of calculating fire position based on binocular imaging positioning method and the method of rotating camera positioning, an improved algorithm of positioning is studied, which can improve the veracity of positioning, the verification of these systemic recognition algorithm is accurate and effective. Based on this, by MATLAB simulation, we get the result of fire image processing and fire position.