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An improved differential box-counting method to estimate fractal dimensions of gray-level images
发表时间:2019-03-09 点击次数:
论文类型:期刊论文
第一作者:Liu, Yu
通讯作者:Song, YC (reprint author), Dalian Univ Technol, Key Lab Ocean Energy Utilizat & Energy Conservat, Minisny Educ, Dalian 116024, Peoples R China.
合写作者:Chen, Lingyu,Wang, Heming,Jiang, Lanlan,Zhang, Yi,Zhao, Jiafei,Wang, Payong,Zhao, Yuechao,Song, Yongchen
发表时间:2014-07-01
发表刊物:JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
收录刊物:SCIE、EI
文献类型:J
卷号:25
期号:5
页面范围:1102-1111
ISSN号:1047-3203
关键字:Differential box-counting method (DBC); Fractal dimension; Gray-level images; Grid box size; Synthetic images; Over-counting; Texture images; Under-counting
摘要: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.
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