A novel method to estimate fractal dimension of color images

S. Kisan, Sarojananda Mishra, D. Mishra
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引用次数: 3

Abstract

Fractal theory is one of the vital topics in image processing. The term Fractal Dimension (FD) is an important aspect in Fractal theory. The dimension of complex objects in nature is calculated by Fractal Dimension. FD is used in shape classification, graphic analysis and texture segmentation. FD also caters to several data mining tasks. One of the preferable method for calculation of FD of an image is box counting method. In this paper various methods used to calculate the FD of color images are emphasized. One of the existing method is discussed with its key problems and three methods has been proposed to achieve accurate FD. Experiments are conducted using these methods and FD is compared.
一种估计彩色图像分形维数的新方法
分形理论是图像处理领域的重要课题之一。分形维数(FD)是分形理论中的一个重要方面。自然界中复杂物体的维数是用分形维数来计算的。FD用于形状分类、图形分析和纹理分割。FD还满足一些数据挖掘任务。计算图像FD的较好方法之一是框计数法。本文着重介绍了计算彩色图像FD的各种方法。讨论了现有的一种方法及其存在的关键问题,提出了实现精确FD的三种方法。用这些方法进行了实验,并对FD进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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