A recognition system for rectangular components based on structural decomposition

The practical implementation of nontrivial machine vision algorithms requires a balance of efficiency, flexibility, and cost. This paper discusses the development and implementation of an industrial system that recognizes scanned rectangular kitchen cabinet frames. By utilizing a configuration of modular algorithms that reduce the image into structural primitives, accurate recognition is possible at a relatively high speed using limited hardware. The system essentially decomposes a silhouette of the frame into a border representation, extracting corner-containing regions which, in turn, yield vertices. Global information about the frame is then used to convert the vertices into usable features. This thesis discusses the motivation, development, and implementation of this system. Recognition tests were performed successfully on several thousand frame samples.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Electrical Engineering

Department dc:contributor.department

Electrical Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

1995

Author dc:creator

• Del Gigante, Christopher John

Chair dc:contributor.committeechair

• Abbott, A. Lynn

Committee members dc:contributor.committeemember

• Athanas, Peter M.
• Bay, John S.

• industrial systems

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en

Dc Identifier Other

etd-01172009-063136

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/40636