Automatic classification of wooden cabinet doors using computer vision

This thesis describes the use of computer vision techniques for distinguishing wooden components in a manufacturing environment. The components considered here are kitchen cabinet doors, which are produced in many different styles and sizes, and travel on a conveyor at 30 feet per minute. An automatic classification system has been developed which can classify doors reliably. The system includes a host computer with video digitizer, two laser sources, and three video cameras to obtain profile images. This thesis describes the careful design of illumination and sensing geometry, the profile-based feature extraction process, and the classification method. The system exists as a laboratory prototype, and has been successfully tested with a large number of 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

1994

Author dc:creator

• Yuan, Bin

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-07102009-040256

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/43611