Automatic classification of wooden cabinet doors using computer vision

• Main Author: Yuan, Bin
• Other Authors: Electrical Engineering
• Format: Others
• Language: en
• Published: Virginia Tech 2014
• Subjects: LD5655.V855 1994.Y836; Cabinetwork > Classification; Computer vision
• Online Access: http://hdl.handle.net/10919/43611; http://scholar.lib.vt.edu/theses/available/etd-07102009-040256/

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. === Master of Science