Fuzzy Techniques in Image Processing : Three Case Studies
p. 89-104
Abstract
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
Index
Text
References
Bibliographical reference
Mike Nachtegael, Dietrich Van der Weken and Etienne E. Kerre, « Fuzzy Techniques in Image Processing : Three Case Studies », CASYS, 12 | 2002, 89-104.
Electronic reference
Mike Nachtegael, Dietrich Van der Weken and Etienne E. Kerre, « Fuzzy Techniques in Image Processing : Three Case Studies », CASYS [Online], 12 | 2002, Online since 16 July 2024, connection on 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=1686
Authors
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.