
Stochastic Fractal Dimension Image
Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1525 |
Published in The Insight Journal - 2009 January - June.
Submitted by Nick Tustison on 02-07-2009.
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.
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Categories: | Classification, Deformable registration, Edge Detection, Image, Neighborhood filters |
Keywords: | texture, fractal, edge enhancement |
Toolkits: | ITK (moved into the sandbox) |
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![]() by Vercauteren T., Pennec X., Perchant A., Ayache N.
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![]() by Tustison N., Gee J.
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