Image segmentation based on scaled fuzzy membership functions

Jan Jantzen, P. Ring,, Pernille Christiansen

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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
Original languageEnglish
Title of host publicationProceedings of the 2nd IEEE International Conference on Fuzzy Systems
VolumeVolume 2
PublisherIEEE
Publication date1993
Pages714-718
ISBN (Print)07-80-30614-7
DOIs
Publication statusPublished - 1993
EventIEEE International Conference on Fuzzy Systems - San Francisco, CA
Duration: 1 Jan 1993 → …
Conference number: 2nd

Conference

ConferenceIEEE International Conference on Fuzzy Systems
Number2nd
CitySan Francisco, CA
Period01/01/1993 → …

Bibliographical note

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