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. / Master of Science
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/46098 |
| Date | 04 December 2009 |
| Creators | Bari, Farooq |
| Contributors | Electrical Engineering, Abbott, A. Lynn, Conners, Richard W., Helm, Richard F. |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis, Text |
| Format | v, 103 leaves, BTD, application/pdf, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
| Relation | OCLC# 31594018, LD5655.V855_1994.B3755.pdf |
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