图像分数维计算模型的改进  

An improved method for calculating fractal dimension of image

作　　者：于子凡[1] 胡丽红[2] 

机构地区：[1]武汉大学遥感信息工程学院,武汉430079 [2]武汉大学资源环境科学学院,武汉430079

出　　处：《测绘科学》2011年第6期22-24,共3页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(60875007)

摘　　要：分数维作为一种图像纹理特征常用于遥感图像分类,提高图像分数维的测量有助于提高遥感分类精度。本文在介绍目前常用的基于分形布朗运动分数维计算方法的基础上,运用分形的相关理论,指出了现有方法存在的缺陷,提出了改进的分数维计算方法;并用SPOT全色影像中常见的5种地物进行了对比实验,实验结果表明,本文提出的改进方法获得的分数维测量结果比现有的方法更接近理论分析结果,更有利于地物的识别与分类。Fractal dimension, as a kind of texture feature, is often used for classification. It is important for classification to improve the precision of the fractal dimension. The current method of fractal dimension of image was introduced in the paper. The shortage of the current method was pointed out after analyzing it with the fractal theory. An improved method was proposed then. An experiment result, by comparative analysis on several texture features in a SPOT image, was given. It showed that a more precision result could be gotten by the improved method and therefore it would be helpful for classification.

关 键 词：分数维 分形布朗运动 纹理 分类 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]