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Local multifractal detrended fluctuation analysis for non-stationary image's texture segmentation

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成果类型:
期刊论文
作者:
Wang, Fang*;Li, Zong-shou;Li, Jin-wei
通讯作者:
Wang, Fang
作者机构:
[Wang, Fang] Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
[Li, Zong-shou] Jishou Univ, Coll Informat Sci & Engn, Jishou 416000, Peoples R China.
[Li, Jin-wei] Hunan Agr Univ, Agr Informat Inst, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Wang, Fang] H
Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Image segmentation;Image stationarity;Local generalized Hurst exponent;Local multifractal detrended fluctuation analysis;Noise
期刊:
Applied Surface Science
ISSN:
0169-4332
年:
2014
卷:
322
页码:
116-125
基金类别:
This work was supported by the Young Scholar Project Funds of the Education Department of Hunan Province, P.R. China ( 14B087 ).
机构署名:
本校为第一且通讯机构
院系归属:
理学院
信息科学技术学院
摘要:
Feature extraction plays a great important role in image processing and pattern recognition. As a power tool, multifractal theory is recently employed for this job. However, traditional multifractal methods are proposed to analyze the objects with stationary measure and cannot for non-stationary measure. The works of this paper is twofold. First, the definition of stationary image and 2D image feature detection methods are proposed. Second, a novel feature extraction scheme for non-stationary image is proposed by local multifractal detrended fl...

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