On the calculation of fractal features from images
Chen, S.S.
Keller, J.M.
Crownover, R.M.
Allied Bendix/King Radio Corp., Olathe, KS;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Oct 1993
Volume: 15,
Issue: 10
On page(s): 1087-1090
ISSN: 0162-8828
References Cited: 15
CODEN: ITPIDJ
INSPEC Accession Number: 4580742
Digital Object Identifier: 10.1109/34.254066
Current Version Published: 2002-08-06
Abstract
Fractal geometry is becoming increasingly more important in the
study of image characteristics. There are numerous methods available to
estimate parameters from images of fractal surfaces. A very general
technique to calculate numerous fractal features involves the estimation
of the mass density function by box counting. The authors analyze the
box-counting method, establish a lower bound for the box size, and
indicate how algorithms can be improved to give better estimates of
fractal features of images. This provides a theoretical basis for a
heuristic approach used by C.A. Pickover and A.L. Khorasani (1986)
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