Fuzzy segmentation applied to face segmentation
Cuevas, Eric ;  Zaldivar, Daniel ;  Rojas, Raùl ;  Universität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik

Main titleFuzzy segmentation applied to face segmentation
AuthorCuevas, Eric
AuthorZaldivar, Daniel
AuthorRojas, Raùl
InstitutionUniversität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik
No. of Pages12 S.
Series Freie Universität Berlin, Fachbereich Mathematik und Informatik : Ser. B, Informatik ; [20]04,09
Classification (DDC)004 Data processing and Computer science
AbstractThe segmentation of objects whose color-composition is not trivial represents a difficult task, due to the illumination and the appropriate threshold selection for each one of the object color-components. In this work we propose the Fuzzy C-Means algorithm application for the segmentation of such objects. It is chosen, by the characteristics that it represents the face segmentation. This technical report is organized in the following way: in section 1 a clustering techniques introduction are presented. In section 2 Fuzzy C-means algorithm is analysed and also showed with a simple example. In section 3 Matlab tools, that are used to code the fuzzy C-means algorithm are described. In section 4 the Fuzzy C-Means algorithm is implemented for the face segmentation. Finally in section 5 the results are presented and the possible improvements are proposed.
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FU DepartmentDepartment of Mathematics and Computer Science
Other affiliation(s)Institut für Informatik
Year of publication2004
Type of documentWorking paper
Terms of use/Rights Nutzungsbedingungen
Created at2009-05-26 : 08:54:47
Last changed2015-03-03 : 01:41:10
Static URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000002042