Forest fire image segmentation based on multifractal and Contourlet transform

A new segmentation algorithm for forest fire image based on multifractal and Contourlet transform is proposed. The algorithm firstly decomposes the image into several subband images with multi-scale, localization and multi-direction using Contourlet transform. Then, multifractal analysis of low frequency sub-band is performed. The multifractal spectrum is used as the characteristic parameters to filter the pixels that mark different scenery. At last, according to the distribution of these pixels, fire and smoke segmentation is realized. Experimental results show that the algorithm can segment flame and smoke effectively and improve the efficiency of segmentation of forest fire image.