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Proceedings Paper

Pixel dissimilarities for local controlling of the conductance in geometry-driven diffusion
Author(s): Ivan Bajla; Igor Hollaender
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Paper Abstract

The paper deals with geometry-driven diffusion filtering of MR tomograms of human brain. A method for making the conductance function locally adjustable has been proposed. It is based on using quantitative measures of pixel dissimilarities in neighborhoods which control the selection of an appropriate parameter of the exponential conductance. Three kinds of dissimilarity have been proposed and tested on a MR head phantom, as well as on real MR tomogram. A study of separate filtering effect on region interiors and boundaries has been performed using histograms of local conductance.

Paper Details

Date Published: 1 February 1998
PDF: 9 pages
Proc. SPIE 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences, (1 February 1998); doi: 10.1117/12.301391
Show Author Affiliations
Ivan Bajla, Institute of Measurement Science (Austria)
Igor Hollaender, Institute of Information Processing (Austria)


Published in SPIE Proceedings Vol. 3346:
Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences
Emanuel Wenger; Leonid I. Dimitrov, Editor(s)

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