1 February 1998 Geometry-driven diffusion: an alternative approach to image filtering/segmentation in diagnostic imaging
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Proceedings Volume 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences; (1998); doi: 10.1117/12.301387
Event: Sixth International Workshop on Digital Image Processing and Computer Graphics, 1997, Vienna, Austria
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.
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Ivan Bajla, "Geometry-driven diffusion: an alternative approach to image filtering/segmentation in diagnostic imaging", 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; https://doi.org/10.1117/12.301387
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KEYWORDS
Diffusion

Image segmentation

Image processing

Image filtering

Magnetic resonance imaging

Brain

Nonlinear filtering

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