Image algebra networks for pattern classification

Paul D. Gader; Yonggwan Won; Mohamed A. Khabou

doi:10.1117/12.179187

30 June 1994 Image algebra networks for pattern classification

Paul D. Gader, Yonggwan Won, Mohamed A. Khabou

Proceedings Volume 2300, Image Algebra and Morphological Image Processing V; (1994) https://doi.org/10.1117/12.179187
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Paul D. Gader, Yonggwan Won, and Mohamed A. Khabou "Image algebra networks for pattern classification", Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); https://doi.org/10.1117/12.179187

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