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Stochastic Fractal Dimension Image

Tustison, Nicholas, Gee, James
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1525
New: Prefer using the following doi: https://doi.org/10.54294/ne109t
Published in The Insight Journal - 2009 January - June.
Submitted by Nicholas J. Tustison on 2009-04-28 20:34:40.

Fractal analysis for medical image classification and analysis was introduced in cite{Chen1989}. According to the authors, when viewed as an intensity surface, Mandelbrot\'s fractal theory provides an informative framework for characterizing such a surface. Using the fractional Brownian motion model, the authors provide an algorithm for converting a scalar image to a fractal dimension image for classification purposes or edge enhancement. This submission constitutes a report on the ITK implementation of this algorithm.