Share Email Print
cover

Proceedings Paper

Geometry-driven diffusion: an alternative approach to image filtering/segmentation in diagnostic imaging
Author(s): Ivan Bajla
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The major goal of this survey is to provide the reader with the motivation of image filtering and segmentation in diagnostic imaging, with the brief overview of the state-of- the-art of nonlinear filters based on the geometry-driven diffusion (GDD), and with a possible generalization of the GDD-filtering towards the complex problem of image segmentation, stated as minimization of particular energy functionals. An example of the application of the GDD- filtering to the task of 3D visualization of MRI data of the brain is illustrated and discussed in the paper.

Paper Details

Date Published: 1 February 1998
PDF: 16 pages
Proc. SPIE 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences, (1 February 1998); doi: 10.1117/12.301387
Show Author Affiliations
Ivan Bajla, Institute of Measurement Science (Austria)


Published in SPIE Proceedings Vol. 3346:
Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences

© SPIE. Terms of Use
Back to Top