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dc.contributor.authorMohd Saifizi, Saidon
dc.contributor.authorHazry, Desa, Assoc. Prof. Dr.
dc.contributor.authorShafriza Nisha, Basah, Dr.
dc.contributor.authorMohd Rudzuan, Mohd Nor
dc.date.accessioned2013-12-12T08:36:32Z
dc.date.available2013-12-12T08:36:32Z
dc.date.issued2012-06-18
dc.identifier.citationp. 633 - 640en_US
dc.identifier.isbn978-967-5760-11-2
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/30494
dc.descriptionThe 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.en_US
dc.description.abstractThis paper describes the development of a vision system for mobile robot control using a combination of fuzzy logic and image processing techniques, enabling the robot to identify objects such as door, marking circle and recognize the target object. Landmark selected in this study is a door because the door is the common objects in indoor environments and the detection of a door allows a robot to do tasks such as navigation and path planning. This work presents an approach using computer vision which applied Hough Transform and Feature matching technique after the image has been proceeds by Canny edge detector. Features like circular marking, the distance between two vertical lines used by the fuzzy system to analyze whether it has relation with the door being analyzed to design an expert system to detect rectangular shaped door. In this study, vision system is applied to extract the information such as the distance of target and the orientation of target.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012);
dc.subjectLandmarken_US
dc.subjectRecognitionen_US
dc.subjectMobile Rboten_US
dc.subjectImage processingen_US
dc.subjectFuzzy logicen_US
dc.subjectHough transformen_US
dc.subjectCanny detectionen_US
dc.subjectPattern matchingen_US
dc.titleLandmark recognition by using fuzzy approachen_US
dc.typeWorking Paperen_US
dc.contributor.urlsaifizi@unimap.edu.myen_US
dc.contributor.urlhazry@unimap.edu.myen_US
dc.contributor.urlshafriza@unimap.edu.myen_US
dc.contributor.urlrudzuan@unimap.edu.myen_US


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