Fuzzy Techniques in Image Processing : Three Case Studies
p. 89-104
Résumé
Fuzzy techniques can be applied in several domains of image processing (Kerre & Nachtegael, 2000). In this paper we will show how fuzzy techniques are used in mathematical morphology, in establishing measures for image quality evaluation, and in constructing filters for image noise reduction
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Référence papier
Mike Nachtegael, Dietrich Van der Weken et Etienne E. Kerre, « Fuzzy Techniques in Image Processing : Three Case Studies », CASYS, 12 | 2002, 89-104.
Référence électronique
Mike Nachtegael, Dietrich Van der Weken et Etienne E. Kerre, « Fuzzy Techniques in Image Processing : Three Case Studies », CASYS [En ligne], 12 | 2002, mis en ligne le 16 July 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=1686
Auteurs
Mike Nachtegael
Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Krijgslaan 281 (Building S9), 9000, Gent, Belgium.
Dietrich Van der Weken
Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Krijgslaan 281 (Building S9), 9000, Gent, Belgium.
Etienne E. Kerre
Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Krijgslaan 281 (Building S9), 9000, Gent, Belgium.