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Design and development of an intelligent neuro-fuzzy system for automated visual inspection

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. / Thesis (Master, Mechanical and Materials Engineering) -- Queen's University, 2007-07-12 10:24:43.367

  1. http://hdl.handle.net/1974/443
Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OKQ.1974/443
Date18 July 2007
CreatorsKilling, Jonathan
ContributorsQueen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish, English
Detected LanguageEnglish
TypeThesis
Format12382049 bytes, application/pdf
RightsThis 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.
RelationCanadian theses

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