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

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4 Author(s)
Tingting Wang ; Coll. of Inf. & Comput. Eng., Northeast Forestry Univ., Harbin, China ; Jianmin Su ; Yinglai Huang ; Yingshen Zhu

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.

Published in:

Future Computer and Communication (ICFCC), 2010 2nd International Conference on  (Volume:1 )

Date of Conference:

21-24 May 2010