Flame Detection using HSI Color Space

Image processing based systems take important place in systems used to detect fires in open spaces. Vision-based systems can detect fires in open spaces from distances and detect the fire at an early stage. In this study, a fire/flame detection method based on the color analysis of the fire image is presented. The proposed method consists of three steps. First, the image in RGB space is converted to the HSI color space. Then a color filter is applied to determine the fire/flame candidate zone. In the second stage, fake fire zones within the candidate zone identified as fire are eliminated. In this phase, image difference and gauss mixture model is used to recover the fake fire areas. In the third step, the result of the two methods is subjected to AND processing. The AND operation ensures to detect the exact flame zone. As a result, the proposed algorithm has been tested using fire video images. The highest calculated accuracy is 96%.