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Please use this identifier to cite or link to this item: http://hdl.handle.net/1974/443

Title: Design and development of an intelligent neuro-fuzzy system for automated visual inspection
Authors: Killing, Jonathan

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Keywords: Mechanical
Engineering
Machine vision
Automotive
Fuzzy logic
Neural networks
Issue Date: 2007
Series/Report no.: Canadian theses
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
URI: http://hdl.handle.net/1974/443
Appears in Collections:Mechanical and Materials Engineering Graduate Theses
Queen's Theses & Dissertations

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