Keywords
Image processing, Circular Pipeline Video Processor (CPVP), PCB feature segmentation, Algorithm performance evaluation, Automatic Board Assembly, Inspection and Test (ABAIT), Robotic visual inspection
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
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Graduation Date
1984
Semester
Spring
Advisor
Simons, Fred O.
Degree
Master of Science (M.S.)
College
College of Engineering
Degree Program
Engineering
Format
Pages
104 pages
Language
English
Rights
Public Domain
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
Identifier
DP0015860
Subjects
Image segmentation; Printed circuits--Inspection; Image processing--Industrial applications; Computer vision--Industrial applications; Image processing--Digital techniques--Evaluation
STARS Citation
Albritton, Jon M., "Image Analysis and Segmentation Based on the Circular Pipeline Video Processor" (1984). Retrospective Theses and Dissertations. 4680.
https://stars.library.ucf.edu/rtd/4680
Contributor (Linked data)
Simons, Fred O. [VIAF]
University of Central Florida. College of Engineering [VIAF]
Accessibility Status
Searchable text
Included in
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