Published October 2016 | Version v1
Journal article

A simple method for estimating the fractal dimension from digital images: The compression dimension

Description

The fractal structure of real world objects is often analyzed using digital images. In this context, the compression fractal dimension is put forward. It provides a simple method for the direct estimation of the dimension of fractals stored as digital image files. The computational scheme can be implemented using readily available free software. Its simplicity also makes it very interesting for introductory elaborations of basic concepts of fractal geometry, complexity, and information theory. A test of the computational scheme using limited-quality images of well-defined fractal sets obtained from the Internet and free software has been performed. Also, a systematic evaluation of the proposed method using computer generated images of the Weierstrass cosine function shows an accuracy comparable to those of the methods most commonly used to estimate the dimension of fractal data sequences applied to the same test problem.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2016.08.002

Additional details

Identifiers

DOI
10.1016/j.chaos.2016.08.002;
arXiv
arXiv:1602.02139v2;
PII
S0960-0779(16)30239-9;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
91
Journal Page Range
p. 562-572
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48064814
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ACCURACY; COMPUTER CODES; DIMENSIONS; FRACTALS; GEOMETRY; IMAGES; INFORMATION THEORY
Descriptors DEC
MATHEMATICS

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.