Design and development of an intelligent neuro-fuzzy system for automated visual inspection
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Date
2007-07-18T14:57:21Z
Authors
Killing, Jonathan
Keyword
Mechanical , Engineering , Machine vision , Automotive , Fuzzy logic , Neural networks
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.