Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/4998
Title: Enhanced skin colour classifiers using pixel-based and region-based modelling techniques
Authors: Ghazali Osman
Keywords: QP 88.5 .G4 2011
Ghazali Osman
Tesis FST 2011
Skin -- Aging
Issue Date: Nov-2011
Publisher: Terengganu: Universiti Malaysia Terengganu
Series/Report no.: ;QP 88.5 .G4 2011
Abstract: Skin 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.
URI: http://hdl.handle.net/123456789/4998
Appears in Collections:Fakulti Sains dan Teknologi

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