Rapid extracting algorithm of suspected fire area under complex background

Aiming at solving the problem of extracting real-time fire movement area caused by the sensitive of fire scene image in variable noises interference and illumination changes, a kind of rapid extraction algorithm suitable for all-weather efficient fire flame movement area is designed in this paper. According to the distribution of pixel gray information and the correlation of sequence frame, the algorithm, using the 2d-statistical principle of projection principle, adaptive updating from the time domain for background model and the threshold value, can realize the extraction of the flame suspected area rapidly based on the movement of the target area on spatial correlation. The experimental results show that the proposed algorithm consumption time is 0.232 ms in total at a 1920×1080 resolution. The algorithm solves outside light influence in the extraction in the target area. Compared with the area clustering algorithm, the algorithm proposed in this paper,reduces the detecting time consuming of suspected fire area and algorithm calculation complexity greatly.