Evaluation of fuzzy-neighborhood filters in medical imaging

Sevald Berg; Bjoern Olstad

doi:10.1117/12.274077

25 April 1997 Evaluation of fuzzy-neighborhood filters in medical imaging

Sevald Berg, Bjoern Olstad

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274077
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

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.

Citation Download Citation

Sevald Berg and Bjoern Olstad "Evaluation of fuzzy-neighborhood filters in medical imaging", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274077

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