Efficient neural network implementation of morphological operations

Aldo Morales; Sung Jea Ko

doi:10.1117/12.58386.full

Efficient neural network implementation of morphological operations

Aldo Morales, Sung Jea Ko

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

In this paper we introduce 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. It will be shown that the proposed algorithm leads to a computationally simple implementation. Numerical examples will be presented to illustrate its performance.

Original language	English
Pages (from-to)	276-286
Number of pages	11
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1658
DOIs	https://doi.org/10.1117/12.58386.full
Publication status	Published - 1992 Apr 1
Externally published	Yes
Event	Nonlinear Image Processing III 1992 - San Jose, United States Duration: 1992 Feb 9 → 1992 Feb 14

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.58386.full

Cite this

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AB - In this paper we introduce 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. It will be shown that the proposed algorithm leads to a computationally simple implementation. Numerical examples will be presented to illustrate its performance.

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Nonlinear Image Processing III 1992

Y2 - 9 February 1992 through 14 February 1992

ER -

Efficient neural network implementation of morphological operations

Abstract

ASJC Scopus subject areas

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