  A novel approach for forest fire detection using image processing technique
is proposed. A rule-based color model for fire pixel classification is used.
The proposed algorithm uses RGB and YCbCr color space. The advantage of using
YCbCr color space is that it can separate the luminance from the chrominance
more effectively than RGB color space. The performance of the proposed
algorithm is tested on two sets of images, one of which contains fire; the
other contains fire-like regions. Standard methods are used for calculating the
performance of the algorithm. The proposed method has both higher detection
rate and lower false alarm rate. Since the algorithm is cheap in computation,
it can be used for real-time forest fire detection.
