1 April 1992 Efficient neural network implementation of morphological operations
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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, Aldo W. Morales, Sung-Jea Ko, Sung-Jea Ko, } "Efficient neural network implementation of morphological operations", Proc. SPIE 1658, Nonlinear Image Processing III, (1 April 1992); doi: 10.1117/12.58384; https://doi.org/10.1117/12.58384
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