基于圖像處理的大空間建筑火災(zāi)報(bào)警系統(tǒng)研究
[Abstract]:Fire image automatic monitoring technology is based on the advantages of image processing and the high-speed operation of computer language. Based on the information of flame image, a fire monitoring technology is proposed to analyze and judge the fire. The fire alarm system based on image is realized, and three aspects of the system are studied in this paper. Firstly, because the fire flame recognition algorithm is complex and requires high environment, a fire recognition method based on image multi-features is proposed. The image difference method is used to detect the suspected area of moving flame, then the detected region is set as the region of interest, and then the texture and shape features of the suspected flame target in the region of interest are analyzed. Exclude the object without flame color, make further decision, and finally determine whether there is flame or not. The experimental results show that the proposed method has higher detection rate, lower false alarm rate and strong anti-jamming ability. The second part of the paper studies the three-dimensional positioning of flame position by binocular calibration. Secondly, several calibration methods of camera are studied. Finally, the calculation method of fire image center coordinates and the parameter calculation of geometric characteristics are introduced. An improved method for calculating the central coordinates of fire images is presented. Finally, an image-based fire alarm system based on image processing is designed. The hardware design of the system includes the overall structure and hardware composition of the system, the software design of the system, including the software design requirements, requirements analysis, the choice of development language and the overall structure of the software. Finally, according to the system design of this paper, the fire identification simulation experiment is carried out.
【學(xué)位授予單位】:長安大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:TU892;TP277
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