Abstract
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.
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Sarkodie-Gyan, T. (2007). Reasoning Object Recognition Using Fuzzy Inferential. In: Castillo, O., Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Hybrid Intelligent Systems. Studies in Fuzziness and Soft Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37421-3_18
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DOI: https://doi.org/10.1007/978-3-540-37421-3_18
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