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A connectionist classifier architecture applied to image segmentation

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2 Author(s)
W. E. Blanz ; IBM Almaden Res. Center, San Jose, CA, USA ; S. L. Gish

A connectionist classifier architecture that is used in an image segmentation scheme based upon a decision analysis paradigm is described. An appropriate architecture for a connectionist classifier is discussed, and its relationship to other image segmentation architectures following the same paradigm is shown. The performance of a complete system, including pixel descriptor extraction and connectionist classifier, is demonstrated using scenes from industrial inspection and combustion chamber research tasks

Published in:

Pattern Recognition, 1990. Proceedings., 10th International Conference on  (Volume:ii )

Date of Conference:

16-21 Jun 1990