Stochastic Fractal Dimension Image
Tustison N., Gee J.
PICSL, University of Pennsylvania
logo

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1525
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.
Code
There is no code review at this time.

Reviews
There is no review at this time. Be the first to review this publication!

Quick Comments


Resources
backyellow
Download Package
Download Paper, View Paper
Download Source code
Github

Statistics more
backyellow
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Code rating:
Paper Quality: plus minus

Information more
backyellow
Categories: Classification, Deformable registration, Edge Detection, Image, Neighborhood filters
Keywords: texture, fractal, edge enhancement,
Toolkit: ITK (moved into the sandbox)
Export citation:

Share
backyellow
Share

Associated Publications
backyellow
Run-Length Matrices For Texture Analysis

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas