Software Design Of Fire Flame Recognition Based On Vedio Images

it has been an increasing urgent demand that how to effectively protect the safety of high buildings and detect the fire as early as possible. As a new-style and effective measure for the detection of early fire, much attention has been focused on image fire detection technology.The principle of fire occurring, three developing stages and characters of every stage have been discussed systematically in this dissertation. The difference is also studied between conventional fire detection systems and new-style fire detection techniques. The classification of image fire detection, detection devices, the composition of the fire detection system and basic principle of digital image processing have been introduced in detail as well.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 flame can be recognized and the disturbing phenomena can be distinguished.Finally, one kind of new fire detection algorithm structure is designed in this dissertation, including the monitoring switch algorithm as well as the fire image characteristic fusion decision method. And it shows that the algorithm is valid in different noise source existence situation through experimental. The experiment indicates that this algorithm with anti-jamming ability, can detect the flame accurately.