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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1974/443
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| 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: | Queen's Theses & Dissertations
Mechanical and Materials Engineering Graduate Theses
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