NDLI: Fractal dimension of low-resolution medical images

Content Provider	IEEE Xplore Digital Library
Author	Penn, A.I. Loew, M.H.
Copyright Year	1996
Description	Author affiliation: Alan Penn & Assoc., Rockville, MD, USA (Penn, A.I.)
Abstract	Fractal dimension (fd) is a feature which is widely used to characterize medical images. Previously, researchers have shown that fd separates important classes of images and is orthogonal to other texture measures. Existing methods of estimating fd, however, are unable to distinguish many images with similar characteristics, limiting the effectiveness of fd as a feature. This paper analyzes the limitation of box-counting (BC) and fractional Brownian motion (fBm) methods of estimating fd. Estimation by BC is ineffective when applied to data-limited images. Estimation by fBm uses a restrictive model which is not applicable to Iterated Function Systems or to noisy images. The authors present a new method of estimating fd which is applicable to data-limited medical images. In the authors' method, Fractal Interpolation Functions (FIFs) are used to generate self-affine models of graphical representations of image data. The fd of each FIF is analytically evaluated, and measures of confidence and self-affinity are computed. The new method is demonstrated in a test study of red blood cells.
Starting Page	1163
Ending Page	1165
File Size	344757
Page Count	3
File Format	PDF
ISBN	0780338111
DOI	10.1109/IEMBS.1996.652756
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-10-31
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fractals Biomedical imaging Image motion analysis Brownian motion Image resolution Mathematics Computer science Image texture analysis 1f noise Biology computing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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