2007 | OriginalPaper | Buchkapitel
Reasoning Object Recognition Using Fuzzy Inferential
verfasst von : Thompson Sarkodie-Gyan
Erschienen in: Hybrid Intelligent Systems
Verlag: Springer Berlin Heidelberg
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This paper introduces a vision-based pattern recognition scheme for the identification of very high tolerances of manufactured industrial objects. An image-forming device is developed for the generation and the capture of images/silhouettes of the components. A simple but effective feature extraction algorithm is employed to produce distinguishable features of the components in question. Radial basis function (RBF) based membership functions are used as classifiers for the pattern classification. For the decision making process, a fuzzy logic based inferential reasoning algorithm is implemented for the approximate reasoning scheme.