Design and development of an intelligent neuro-fuzzy system for automated visual inspection
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Authors
Killing, Jonathan
Date
2007-07-18T14:57:21Z
Type
thesis
Language
eng
Keyword
Mechanical , Engineering , Machine vision , Automotive , Fuzzy logic , Neural networks
Alternative Title
Abstract
This thesis presents work on the use of intelligent algorithms to solve a real-world machine vision problem in the automotive industry. Compared to commercial systems, the algorithm developed is both more robust to changes in the inspection environment and more intuitive for the user to configure.
Description
Thesis (Master, Mechanical and Materials Engineering) -- Queen's University, 2007-07-12 10:24:43.367
Citation
Publisher
License
This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.