Keywords

Image processing

Abstract

Visual inspection of printed circuit boards has generally depended on human inspectors. However, a system has been developed which allows for automated visual inspection using robotics and modern image processing techniques. This paper first introduces automatic visual inspection processes, overviews the Automatic Board Assembly, Inspection and Test (ABAIT) system, reviews image processing concepts and describes the Circular Pipeline Video Processor (CPVP). Image data from the CPVP is analyzed and an investigation into alternate segmentation algorithms to identify circuit board features is presented. The relative performance of these algorithms is compared conclusions drawn.

Notes

If this is your thesis or dissertation, and want to learn how to access it or for more information about readership statistics, contact us at STARS@ucf.edu

Graduation Date

1984

Semester

Spring

Advisor

Simons, Fred O.

Degree

Master of Science (M.S.)

College

College of Engineering

Degree Program

Engineering

Format

PDF

Pages

104 p.

Language

English

Rights

Public Domain

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

Identifier

DP0015860

Included in

Engineering Commons

Share

COinS