A machine vision system for classifying rectangular cabinet frames
dc.contributor.author | Bari, Farooq | en |
dc.contributor.committeechair | Abbott, A. Lynn | en |
dc.contributor.committeemember | Conners, Richard W. | en |
dc.contributor.committeemember | Helm, Richard F. | en |
dc.contributor.department | Electrical Engineering | en |
dc.date.accessioned | 2014-03-14T21:50:57Z | en |
dc.date.adate | 2009-12-04 | en |
dc.date.available | 2014-03-14T21:50:57Z | en |
dc.date.issued | 1994-08-18 | en |
dc.date.rdate | 2009-12-04 | en |
dc.date.sdate | 2009-12-04 | en |
dc.description.abstract | This 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.degree | Master of Science | en |
dc.format.extent | v, 103 leaves | en |
dc.format.medium | BTD | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.other | etd-12042009-020159 | en |
dc.identifier.sourceurl | http://scholar.lib.vt.edu/theses/available/etd-12042009-020159/ | en |
dc.identifier.uri | http://hdl.handle.net/10919/46098 | en |
dc.language.iso | en | en |
dc.publisher | Virginia Tech | en |
dc.relation.haspart | LD5655.V855_1994.B3755.pdf | en |
dc.relation.isformatof | OCLC# 31594018 | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject.lcc | LD5655.V855 1994.B3755 | en |
dc.subject.lcsh | Computer vision | en |
dc.subject.lcsh | Kitchen cabinets -- Inspection -- Automation | en |
dc.subject.lcsh | Pattern recognition systems | en |
dc.title | A machine vision system for classifying rectangular cabinet frames | en |
dc.type | Thesis | en |
dc.type.dcmitype | Text | en |
thesis.degree.discipline | Electrical Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
Files
Original bundle
1 - 1 of 1