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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
Yongchen Song

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Gender:Male
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:能源与动力学院
Discipline:Energy and Environmental Engineering
Business Address:能动大楼810
Contact Information:songyc@dlut.edu.cn
E-Mail:songyc@dlut.edu.cn
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Current position: Home >> Scientific Research >> Paper Publications

An improved differential box-counting method to estimate fractal dimensions of gray-level images

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Indexed by:期刊论文

Date of Publication:2014-07-01

Journal:JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Included Journals:SCIE、EI

Volume:25

Issue:5

Page Number:1102-1111

ISSN No.:1047-3203

Key Words:Differential box-counting method (DBC); Fractal dimension; Gray-level images; Grid box size; Synthetic images; Over-counting; Texture images; Under-counting

Abstract:The differential box-counting (DBC) method is one of the frequently used techniques to estimate the fractal dimension (FD) of a 2D gray-level image. This paper presents an improved DBC method based on the original one for improvement of the accuracy. By adopting the modifying box-counting mechanism, shifting box blocks in (x, y) plane and selecting appropriate grid box sizes, it can solve the two kinds of problems which the DBC has: over-counting boxes along z direction and under-counting boxes just at the border of two neighboring box blocks where there is a sharp gray-level abruption exits. The experiments using two sets of synthetic images and one set of real natural texture images demonstrate that the improved DBC method can solve the two kinds of problems perfectly, simultaneously, and can outperform other DBC methods in the accuracy. (c) 2014 Elsevier Inc. All rights reserved.