Stochastic Fractal Dimension Image
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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.
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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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