A machine vision system for classifying rectangular cabinet frames

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dc.contributor.authorBari, Farooqen
dc.contributor.committeechairAbbott, A. Lynnen
dc.contributor.committeememberConners, Richard W.en
dc.contributor.committeememberHelm, Richard F.en
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2014-03-14T21:50:57Zen
dc.date.adate2009-12-04en
dc.date.available2014-03-14T21:50:57Zen
dc.date.issued1994-08-18en
dc.date.rdate2009-12-04en
dc.date.sdate2009-12-04en
dc.description.abstractThis thesis describes a machine vision solution to an industrial classification task. The specific problem is the identification of kitchen cabinet frames that travel on a conveyor belt. For these components, it is possible to acquire silhouette images and perform two dimensional image analysis. Corner point locations are used as features which are compared with a database of known frame styles. This thesis describes a novel image acquisition system that utilizes backlighting and a line scan camera. Several corner detection methods are compared and a mathematical formulation of frame comparison is given. A fast database search technique is also presented. The laboratory system has been successfully tested with a set of 27 cabinet frames.en
dc.description.degreeMaster of Scienceen
dc.format.extentv, 103 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-12042009-020159en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12042009-020159/en
dc.identifier.urihttp://hdl.handle.net/10919/46098en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1994.B3755.pdfen
dc.relation.isformatofOCLC# 31594018en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1994.B3755en
dc.subject.lcshComputer visionen
dc.subject.lcshKitchen cabinets -- Inspection -- Automationen
dc.subject.lcshPattern recognition systemsen
dc.titleA machine vision system for classifying rectangular cabinet framesen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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