Forest Fire Image Segmentation Based on Contourlet Transform and Fractional Brownian Motion
会议名称：《2010 International Workshop on Chaos-Fractals Theories and Applications(IWCFTA 2010)》
会议日期：2010年
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程]
基 金：supported by Education Department of Heilongjiang Province (11551386) Key Lab of Electronics Engineering Colleges of Heilongjiang Province,Student and Technology Innovation Project of Heilong jiang University(20100122)
关 键 词：Forest fire Contourlet transform Fractional Brownin motion Hurst coefficient Flame
摘 要：A new segmentation algorithm for the forest fire image based on Fractional Brownian motion and Contourlet transform is ***,the algorithm decomposes the image into several sub-bands of multi-scale,location and multi-direction by Contourlet *** Brownian motion model is performed for low frequency sub-band,and then estimate the Hurst coefficient of each frequency coefficient in the *** coefficient used as the characteristics of flame parameters for image *** results show that the algorithm can segment flame effectively,and improve the efficiency of segmentation for forest fire image.