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Proceedings Paper

Evaluation of fuzzy-neighborhood filters in medical imaging
Author(s): Sevald Berg; Bjoern Olstad
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Paper Abstract

In this paper we adapt the framework of a new class of nonlinear digital filters based on fuzzy connected neighborhoods to medical imaging and compare it with other families of digital image filters. An introduction to filters based on fuzzy neighborhoods is given. The framework is adapted to different medical imaging modalities. We discuss the underlying definition of the distance metric in the given applications and appropriate hard constraints in the extraction of pixel neighborhoods. The study demonstrates that fuzzy neighborhood filters are very useful in medical imaging. The fuzzy neighborhood approach offers more flexibility in the design of the filter and in the stability of the filtering process. The fuzzy connected neighborhood filters can perform strong filtering and still maintain fine, thin structures. The filter will not blur edges and this fact is used to define spatio-temporal filters for ultrasonic video sequences.

Paper Details

Date Published: 25 April 1997
PDF: 9 pages
Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274077
Show Author Affiliations
Sevald Berg, Norwegian Univ. of Science and Technology (Norway)
Bjoern Olstad, Norwegian Univ. of Science and Technology (Norway)


Published in SPIE Proceedings Vol. 3034:
Medical Imaging 1997: Image Processing
Kenneth M. Hanson, Editor(s)

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