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An Improved Algorithm for Image Fractal Dimension

机译:分形维数的改进算法

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摘要

There are several methods to estimate fractal dimension in fractional Brownian motion model. In this paper,one of methods,the variance method,is analyzed detailedly,and some problems in the method are pointed out. To resolve the problems,an improved method is proposed. To validate the method,a comparing experiment of two methods is designed. In the experiment,a SPOT image is selected and five categories,flourishing field,bareness land,resident area,water area and mountainous area,in the image are taken as examples. The experiment shows that the result by improved method is coincident with human perception and the improved method is also helpful for classification.
机译:在分数布朗运动模型中,有几种估计分形维数的方法。本文对方差法中的一种方法进行了详细的分析,指出了该方法中的一些问题。为了解决这些问题,提出了一种改进的方法。为了验证该方法,设计了两种方法的比较实验。在实验中,选择了一个SPOT图像,并以图像中的繁华地,光秃秃的土地,居民区,水域和山区五类为例。实验表明,改进后的方法与人的感知结果吻合,改进后的方法也有助于分类。

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