Paper
1 April 1992 Efficient neural network implementation of morphological operations
Aldo W. Morales, Sung-Jea Ko
Author Affiliations +
Proceedings Volume 1658, Nonlinear Image Processing III; (1992) https://doi.org/10.1117/12.58384
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aldo W. Morales and Sung-Jea Ko "Efficient neural network implementation of morphological operations", Proc. SPIE 1658, Nonlinear Image Processing III, (1 April 1992); https://doi.org/10.1117/12.58384
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Neural networks

Fuzzy logic

Nonlinear image processing

Algorithm development

Chemical elements

Mathematical morphology

Binary data

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