Repository landing page

We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
oaioai:stars.library.ucf.edu:rtd-5679

Image Analysis and Segmentation Based on the Circular Pipeline Video Processor

Authors
Publication date
1 January 1984
Publisher
'Information Bulletin on Variable Stars (IBVS)'

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

Similar works

Full text

thumbnail-image

University of Central Florida (UCF): STARS (Showcase of Text, Archives, Research & Scholarship)

redirect
oaioai:stars.library.ucf.edu:rtd-...
Last time updated on 30/10/2019

This paper was published in University of Central Florida (UCF): STARS (Showcase of Text, Archives, Research & Scholarship).

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.