Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/34269
Title: Image segmentation using watershed transformation for facial expression recognition
Authors: Haniza, Yazid, Dr.
Hamzah, Arof
haniza.yazid@gmail.com
Keywords: Distance transform
Linear Hough transform
Watershed transformation
Issue Date: 2008
Publisher: Springer-Verlag
Citation: p. 575-578
Series/Report no.: International Federation for Medical and Biological Engineering (IFMBE) Proceedings;
Abstract: Facial expression recognition plays an important role in various applications. The most lenient way in expressing emotion is by facial expression. There are several facial features that are affected namely the eyes, eyebrows and mouth. Hence, this paper will highlight the segmentation process to obtain the regions of interest. First and foremost, the face localization is done to obtain the face region. In this phase, the background of the image will be eliminated and certain hair is removed. Then, the image will undergo the watershed transformation. In this paper, the Japanese Female Facial Expression (JAFFE) database is used for experimental purposes.
Description: 4th Kuala Lumpur International Conference on Biomedical Engineering 2008 at Kuala Lumpur, Malaysia on 25 June 2008 until 28 of June 2008 . Link to publisher's homepage at http://ezproxy.unimap.edu.my:2259/
URI: http://link.springer.com/chapter/10.1007%2F978-3-540-69139-6_144
http://dspace.unimap.edu.my:80/dspace/handle/123456789/34269
ISBN: 978-3-540-69138-9 (Print)
978-3-540-69139-6 (Online)
ISSN: 1680-0737
Appears in Collections:Haniza Yazid, Dr.



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