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Multifractal Imaging Filtering and Decomposition Methods in Space, Fourier Frequency, and Eigen Domains : Volume 14, Issue 3 (18/06/2007)

By Cheng, Qiuming

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Book Id: WPLBN0004019827
Format Type: PDF Article :
File Size: Pages 11
Reproduction Date: 2015

Title: Multifractal Imaging Filtering and Decomposition Methods in Space, Fourier Frequency, and Eigen Domains : Volume 14, Issue 3 (18/06/2007)  
Author: Cheng, Qiuming
Volume: Vol. 14, Issue 3
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Cheng, Q. (2007). Multifractal Imaging Filtering and Decomposition Methods in Space, Fourier Frequency, and Eigen Domains : Volume 14, Issue 3 (18/06/2007). Retrieved from

Description: State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, Beijing 100083, China. The patterns shown on two-dimensional images (fields) used in geosciences reflect the end products of geo-processes that occurred on the surface and in the subsurface of the Earth. Anisotropy of these types of patterns can provide information useful for interpretation of geo-processes and identification of features in the mapped area. Quantification of the anisotropy property is therefore essential for image processing and interpretation. This paper introduces several techniques newly developed on the basis of multifractal modeling in space, Fourier frequency, and eigen domains, respectively. A singularity analysis method implemented in the space domain can be used to quantify the intensity and anisotropy of local singularities. The second method, called S-A, characterizes the generalized scale invariance property of a field in the Fourier frequency domain. The third method characterizes the field using a power-law model on the basis of eigenvalues and eigenvectors of the field. The applications of these methods are demonstrated with a case study of Environment Scan Electric Microscope (ESEM) microimages for identification of sphalerite (ZnS) ore minerals from the Jinding Pb/Zn/Ag mineral deposit in Shangjiang District, Yunnan Province, China.

Multifractal imaging filtering and decomposition methods in space, Fourier frequency, and eigen domains

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