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dc.contributor.authorMohamed Rizon-
dc.contributor.authorHaniza, Yazid-
dc.contributor.authorPuteh, Saad-
dc.contributor.authorAli Yeon, Md Shakaff, Prof. Dr.-
dc.contributor.authorAbdul Rahman, Saad-
dc.contributor.authorSugisaka, Masanori-
dc.contributor.authorSazali, Yaacob, Prof. Dr.-
dc.contributor.authorM. Rozailan, Mamat-
dc.contributor.authorKarthigayan, M.-
dc.date.accessioned2011-03-22T02:23:55Z-
dc.date.available2011-03-22T02:23:55Z-
dc.date.issued2005-
dc.identifier.citationAmerican Journal of Applied Sciences, vol. 2(12), 2005, pages 1606-1609en_US
dc.identifier.issn1546-9239-
dc.identifier.urihttp://www.scipub.org/fulltext/ajas/ajas2121606-1609.pdf-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/11349-
dc.descriptionLink to publisher's homepage at http://www.scipub.org/en_US
dc.description.abstractIn this study we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi (Trans. IEICE Japan J80-D-II. 8, 2170-2177, 1997) to obtain the best object candidates and next, the system uses the circular Hough transform (CHT) to detect the presence of circular shape. The main contribution of this work consists of using together two different techniques in order to take advantages from the peculiarity of each of them. As the results of the experiments, the object detection rate of the proposed system was 96% for 25 images by moving the circle template every 20 pixels to right and down.en_US
dc.language.isoenen_US
dc.publisherScience Publicationsen_US
dc.subjectSeparability filteren_US
dc.subjectCircular hough transformen_US
dc.subjectEdge detectionen_US
dc.subjectMathematical morphologyen_US
dc.titleObject detection using circular hough transformen_US
dc.typeArticleen_US
Appears in Collections:School of Computer and Communication Engineering (Articles)
Sazali Yaacob, Prof. Dr.
Ali Yeon Md Shakaff, Dato' Prof. Dr.
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.
Haniza Yazid, Dr.

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