Forest Fire Image Segmentation Based on Contourlet Transform and Fractional Brownian Motion
A new segmentation algorithm for the forest fire image based on Fractional Brownian motion and Contourlet transform is proposed. Firstly, the algorithm decomposes the image into several sub-bands of multi-scale, location and multi-direction by Contourlet transform. Fractional Brownian motion model is performed for low frequency sub-band, and then estimate the Hurst coefficient of each frequency coefficient in the sub-band. Hurst coefficient used as the characteristics of flame parameters for image segmentation. Experimental results show that the algorithm can segment flame effectively, and improve the efficiency of segmentation for forest fire image.
Aiping Jiang Lian Liu
College of EE Heilongjiang University Harbin, China
国际会议
2010国际混沌、分形理论与应用研讨会(IWCFTA 2010)
昆明
英文
425-429
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）