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Title: Image segmentation based on scaled fuzzy membership functions
Type: Article in proceedingsArticle in proceedings
Participant(s):
Author:  Jantzen, Jan (Cwisno: 1015)
Technical University of Denmark

Forfatter:  Ring,, P.
Danish Research Cenire of Magnetic Resonance

Forfatter:  Christiansen, Pernille
Danish Research Cenire of Magnetic Resonance

Abstract: As a basis for an automated interpretation of magnetic resonance images, the authors propose a fuzzy segmentation method. The method uses five standard fuzzy membership functions: small, small medium, medium, large medium, and large. The method fits these membership functions to the modes of interest in the image histogram by means of a piecewise-linear transformation. A test example is given concerning a human head image, including a sensitivity analysis based on the fuzzy area measure. The method provides a rule-based interface to the physician
Published: part of: Proceedings of the 2nd IEEE International Conference on Fuzzy Systems (ISBN: 07-80-30614-7), pages: 714-718, 1993, IEEE,
DOI:
File(s):
Presented at: IEEE International Conference on Fuzzy Systems, San Francisco, CA
See the publication in DTU Orbit See the publication in DTU Orbit

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