Classification of species and color of finished wooden components

This thesis describes the use of computer vision and pattern recognition technology in the design of an automatic system which can distinguish species and color of finished wooden components. The system can identify three different species that are stained with several different colors. This system includes a host computer, color video cameras and fiber optic lights. This thesis describes texture and color features and a hierarchical classification strategy used in this system. An algorithm for determining linear and piecewise linear discriminant functions using the convex hull is introduced. The effect of removing wood grain on texture and color identification is also considered. The classification system developed in this thesis has been successfully tested in the laboratory 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

1996

Author dc:creator

• Huang, Zhao

Chair dc:contributor.committeechair

• Abbott, A. Lynn

Committee members dc:contributor.committeemember

• Conners, Richard W.
• Beex, A. A. Louis

• color
• image
• pattern
• classification
• Wood
• texture

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-11072008-063617

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/45483