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Proceedings Paper

Image algebra networks for pattern classification
Author(s): Paul D. Gader; Yonggwan Won; Mohamed A. Khabou
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Paper Abstract

A neural network structure that learns feature extraction and classification operations simultaneously is described. The feature extraction operations are represented using generalized image algebra operations. Learning rules are described. Linear operations and nonlinear, hit-or-miss operations are used to perform handwritten digit recognition.

Paper Details

Date Published: 30 June 1994
PDF: 12 pages
Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); doi: 10.1117/12.179187
Show Author Affiliations
Paul D. Gader, Univ. of Missouri/Columbia (United States)
Yonggwan Won, Univ. of Missouri/Columbia (United States)
Mohamed A. Khabou, Univ. of Missouri/Columbia (United States)

Published in SPIE Proceedings Vol. 2300:
Image Algebra and Morphological Image Processing V
Edward R. Dougherty; Paul D. Gader; Michel Schmitt, Editor(s)

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