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dc.contributor.authorHaniza, Yazid-
dc.contributor.authorMohamed Rizon, Mohamed Juhari-
dc.contributor.authorSugisaka, Masanori-
dc.contributor.authorPuteh, Saad-
dc.contributor.authorAli Yeon, Md Shakaff-
dc.contributor.authorAbdul Rahman, Mohd. Saad-
dc.date.accessioned2009-09-04T08:32:54Z-
dc.date.available2009-09-04T08:32:54Z-
dc.date.issued2005-05-14-
dc.identifier.citationp.57-60en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7155-
dc.descriptionOrganized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar, Perlis.en_US
dc.description.abstractIn this paper, we develop a technique to determine coconuts location using separability filter and Hough transform method. Our research involves two sequential steps for solving the coconuts detection and recognition. The first step uses a modified version of the Hough transform method to detect the region of the image that contains a coconut. The Hough transform has been widely used to extract analytical features such as circles, lines and ellipses. The Hough transform method and several modified versions have been known as robust techniques for curve detection. Before the Hough Transform can be applied, we need edge detection application to identify significant edge point. The next step uses separability filter that had been proposed by Fukui et al.[8 ] to determine the best coconut candidates.en_US
dc.language.isoenen_US
dc.publisherKolej Universiti Kejuruteraan Utara Malaysiaen_US
dc.relation.ispartofseriesProceedings of the 1st International Workshop on Artificial Life and Roboticsen_US
dc.subjectEdge detectionen_US
dc.subjectCircular Hough Transformen_US
dc.subjectSeparability filteren_US
dc.subjectObject detectionen_US
dc.subjectImage processingen_US
dc.subjectComputer visionen_US
dc.subjectHough transformsen_US
dc.titleDetection of coconuts location using separability filter and Hough Transformen_US
dc.typeWorking Paperen_US
Appears in Collections:Conference Papers
Ali Yeon Md Shakaff, Dato' Prof. Dr.
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.
Haniza Yazid, Dr.

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