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Proceedings Paper

Efficient neural network implementation of morphological operations
Author(s): Aldo W. Morales; Sung-Jea Ko
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Paper Abstract

This paper introduces a neural network implementation of gray scale operators. In this structure, synaptic weights are represented by a gray scale structuring element and trained by a learning algorithm based on an optimal criterion called the overall equality index. The proposed algorithm leads to a computationally simple implementation, with numerical examples to illustrate its performance.

Paper Details

Date Published: 1 April 1992
PDF: 11 pages
Proc. SPIE 1658, Nonlinear Image Processing III, (1 April 1992); doi: 10.1117/12.58384
Show Author Affiliations
Aldo W. Morales, The Pennsylvania State Univ. (United States)
Sung-Jea Ko, Univ. of Michigan/Dearborn (United States)


Published in SPIE Proceedings Vol. 1658:
Nonlinear Image Processing III
Edward R. Dougherty; Jaakko T. Astola; Charles G. Boncelet, Editor(s)

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