A Fuzzy Logic Based Image Processing Method for Automated Fire and Smoke Detection

Forest fires, and the scale of damage and destruction they leave in their wake, are well known and documented. With limitations in manual methods for fire monitoring, there is a strong need for developing automated methods for the same. In recent years, there has been considerable development in vision-based systems for fire detection. Forest fire tracking using visual sensors require the ability to identify fire regions in imagery, and a model for fire and smoke identification using Fuzzy Logic based image processing is presented in this paper. The model is tested on a wide range of images containing fire and smoke regions and its effectiveness is demonstrated.. The proposed model facilitates the development of a comprehensive fire and smoke detection system and is very attractive for military and civilian applications.