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dc.contributor.authorHaniza, Yazid, Dr.
dc.contributor.authorHamzah, Arof
dc.date.accessioned2014-05-05T19:39:16Z
dc.date.available2014-05-05T19:39:16Z
dc.date.issued2008
dc.identifier.citationp. 575-578en_US
dc.identifier.isbn978-3-540-69138-9 (Print)
dc.identifier.isbn978-3-540-69139-6 (Online)
dc.identifier.issn1680-0737
dc.identifier.urihttp://link.springer.com/chapter/10.1007%2F978-3-540-69139-6_144
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/34269
dc.description4th 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/en_US
dc.description.abstractFacial 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.en_US
dc.language.isoenen_US
dc.publisherSpringer-Verlagen_US
dc.relation.ispartofseriesInternational Federation for Medical and Biological Engineering (IFMBE) Proceedings;
dc.subjectDistance transformen_US
dc.subjectLinear Hough transformen_US
dc.subjectWatershed transformationen_US
dc.titleImage segmentation using watershed transformation for facial expression recognitionen_US
dc.typeWorking Paperen_US
dc.identifier.url10.1007/978-3-540-69139-6-144
dc.contributor.urlhaniza.yazid@gmail.comen_US


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