Research On The Systerm Of Fire Detection Based On Image Processing

Based on the advantage of the image processing and high-speed calculating-ability of the computer language,the system of fire detection is developed with analyzing the information of fire image. This system 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. The thesis using the feature of fire flame morphologic and flame vision,researches the technology of fire detection based on image processing,which adopt the BP neural network model. The aim is to design and realize the whole fire detection and auto-Put-out system using software.The algorithms of fire image enhancement,noise filtering,the maximum entropy threshold segmentation , region growth , marginal check segmenting and their applications in the fire image processing have been studied in this dissertation. On the base of integration of several segmenting algorithms,a new method has been put forward that can track the fire flame in the fire image sequence and can obtain the fire target. In addition, the stress has been put on the flame image recognition. The features of fire flame and other disturbing phenomena such as area variety,shape variety,edge variety,flame flicker frequency and the whole motion trend have been detailed studied in this dissertation. And the corresponding recognition algorithms have been given. So the early fire frame can be recognized and the disturbing phenomena can be distinguished. The experiment results show the system has the good feature of veracity and reliability...