Study of the pseudo-color processing for infrared forest-fire image

Forest-fire hazard is very serious, so at home and abroad they pay great attention to the study of forest-fire, such as the prevention of forest-fire. Processing the forest-fire image of detected by using the technology of pseudo-color to improve the amount of useful information is one of the most important of forest-fire detection. By a full studying of pseudo-color coded to the forest-fire image, it introduces a gray-scale-color transformation algorithm which is based on the local histogram equalization. The algorithm achieved a highlight of important characteristics of forest-fire and an attenuation of unimportant characteristics, it also converts the grayscale images of the forest-fire detector to the color images which are more suitable for our identification. The algorithm improves the accuracy of our analysis of forest-fire.