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dc.contributor.authorGhazali Osman-
dc.date.accessioned2017-03-26T07:48:56Z-
dc.date.available2017-03-26T07:48:56Z-
dc.date.issued2011-11-
dc.identifier.urihttp://hdl.handle.net/123456789/4998-
dc.description.abstractSkin colour detection is frequently been used for searching people, face detection, pornographic filtering and hand tracking. Skin colour detection is a process to determine whether a desired pixel or a group of pixels belongs to skin or non-skin. The presence of skin or non-skin in digital image can be determined by manipulating pixels' colour and/or pixels' texture. For still image, skin colour detection is a task where an image is produced as input to the process and its output is a set of positions of skin pixels or non-skin pixels. The process of skin detection involves classification technique, which is carried out at an individual pixel or a group of pixels. Thus, skin classification technique can be categorised into two categories; pixel-based and region-based classification techniques.en_US
dc.language.isoenen_US
dc.publisherTerengganu: Universiti Malaysia Terengganuen_US
dc.relation.ispartofseries;QP 88.5 .G4 2011-
dc.subjectQP 88.5 .G4 2011en_US
dc.subjectGhazali Osmanen_US
dc.subjectTesis FST 2011en_US
dc.subjectSkin -- Agingen_US
dc.titleEnhanced skin colour classifiers using pixel-based and region-based modelling techniquesen_US
dc.typeThesisen_US
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