Neural network representation and implementation of gray scale morphological operators

Sung Jea Ko; Aldo Morales

doi:10.1109/ISCAS.1992.230003

Neural network representation and implementation of gray scale morphological operators

Sung Jea Ko, Aldo Morales

School of Science, Engineering & Technology (Harrisburg)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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. Two learning algorithms are used to train the fuzzy morphological neural networks. The first algorithm utilizes the overall equality index. The second algorithm is based on the averaged least-mean square. It is shown that the LMS based algorithm is simpler and more robust.

Original language	English (US)
Title of host publication	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	105-108
Number of pages	4
ISBN (Electronic)	0780305930
DOIs	https://doi.org/10.1109/ISCAS.1992.230003
State	Published - 1992
Event	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 - San Diego, United States Duration: May 10 1992 → May 13 1992

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	1
ISSN (Print)	0271-4310

Conference

Conference	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
Country/Territory	United States
City	San Diego
Period	5/10/92 → 5/13/92

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ISCAS.1992.230003

Cite this

Ko, S. J., & Morales, A. (1992). Neural network representation and implementation of gray scale morphological operators. In 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 (pp. 105-108). Article 230003 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.1992.230003

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title = "Neural network representation and implementation of gray scale morphological operators",

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. Two learning algorithms are used to train the fuzzy morphological neural networks. The first algorithm utilizes the overall equality index. The second algorithm is based on the averaged least-mean square. It is shown that the LMS based algorithm is simpler and more robust.",

author = "Ko, {Sung Jea} and Aldo Morales",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 ; Conference date: 10-05-1992 Through 13-05-1992",

year = "1992",

doi = "10.1109/ISCAS.1992.230003",

language = "English (US)",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "105--108",

booktitle = "1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992",

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Ko, SJ & Morales, A 1992, Neural network representation and implementation of gray scale morphological operators. in 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992., 230003, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 105-108, 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992, San Diego, United States, 5/10/92. https://doi.org/10.1109/ISCAS.1992.230003

Neural network representation and implementation of gray scale morphological operators. / Ko, Sung Jea; Morales, Aldo.
1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 105-108 230003 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Neural network representation and implementation of gray scale morphological operators

AU - Ko, Sung Jea

AU - Morales, Aldo

PY - 1992

Y1 - 1992

N2 - 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. Two learning algorithms are used to train the fuzzy morphological neural networks. The first algorithm utilizes the overall equality index. The second algorithm is based on the averaged least-mean square. It is shown that the LMS based algorithm is simpler and more robust.

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. Two learning algorithms are used to train the fuzzy morphological neural networks. The first algorithm utilizes the overall equality index. The second algorithm is based on the averaged least-mean square. It is shown that the LMS based algorithm is simpler and more robust.

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U2 - 10.1109/ISCAS.1992.230003

DO - 10.1109/ISCAS.1992.230003

M3 - Conference contribution

AN - SCOPUS:85067200544

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

SP - 105

EP - 108

BT - 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992

Y2 - 10 May 1992 through 13 May 1992

ER -

Neural network representation and implementation of gray scale morphological operators

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All Science Journal Classification (ASJC) codes

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