本文将分形布朗模型和分形维数引入火焰图像分析中，可以预报早期火灾，减少火灾的损失。
This paper introduces fractal brown model and fractal dimension into the texture analysis of flame images, which can forecast early fire and reduce the losses of property when fire happened.
本文从分数布朗随机场模型的描述出发，提出并构造了一种广义多尺度分形参数，用于描述图像的纹理信息。
In this paper, a kind of generalized multiscale fractal parameter is proposed and constructed for the description of image textures, which is based on fractional Brownian random field model.
基于随机分形理论，采用分数布朗运动模型，应用R/S分析技术和基于小波变换的谱参数估计方法计算地震道信号的赫斯特指数。
The thesis based on random fractal theory, utilizing fractional Brownian motion model, using R/S analysis technique and wavelet transform method to estimate Hurst exponent which dep.
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