Neuro-fuzzy system for adaptive multilevel image segmentation

Victor Boskovitz; Hugo Guterman

Neuro-fuzzy system for adaptive multilevel image segmentation

Victor Boskovitz
, Hugo Guterman

Department of Electrical & Computer Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

An auto-adaptive Neuro-Fuzzy segmentation architecture is presented. The system consists of a multilayer perceptron (MLP) network that performs adaptive thresholding of the input image using labels automatically preselected by a fuzzy clustering technique. The proposed architecture is feedforward, but unlike the conventional MLP the learning is unsupervised. The output status of the network is described as a fuzzy set. Fuzzy entropy is used as a measure of the error of the system.

Original language	English
Pages	208-211
Number of pages	4
State	Published - 1 Dec 1996
Event	Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel - Jerusalem, Isr Duration: 5 Nov 1996 → 6 Nov 1996

Conference

Conference	Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel
City	Jerusalem, Isr
Period	5/11/96 → 6/11/96

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Neuro-fuzzy system for adaptive multilevel image segmentation",

abstract = "An auto-adaptive Neuro-Fuzzy segmentation architecture is presented. The system consists of a multilayer perceptron (MLP) network that performs adaptive thresholding of the input image using labels automatically preselected by a fuzzy clustering technique. The proposed architecture is feedforward, but unlike the conventional MLP the learning is unsupervised. The output status of the network is described as a fuzzy set. Fuzzy entropy is used as a measure of the error of the system.",

author = "Victor Boskovitz and Hugo Guterman",

year = "1996",

month = dec,

day = "1",

language = "English",

pages = "208--211",

note = "Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel ; Conference date: 05-11-1996 Through 06-11-1996",

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TY - CONF

T1 - Neuro-fuzzy system for adaptive multilevel image segmentation

AU - Boskovitz, Victor

AU - Guterman, Hugo

PY - 1996/12/1

Y1 - 1996/12/1

N2 - An auto-adaptive Neuro-Fuzzy segmentation architecture is presented. The system consists of a multilayer perceptron (MLP) network that performs adaptive thresholding of the input image using labels automatically preselected by a fuzzy clustering technique. The proposed architecture is feedforward, but unlike the conventional MLP the learning is unsupervised. The output status of the network is described as a fuzzy set. Fuzzy entropy is used as a measure of the error of the system.

AB - An auto-adaptive Neuro-Fuzzy segmentation architecture is presented. The system consists of a multilayer perceptron (MLP) network that performs adaptive thresholding of the input image using labels automatically preselected by a fuzzy clustering technique. The proposed architecture is feedforward, but unlike the conventional MLP the learning is unsupervised. The output status of the network is described as a fuzzy set. Fuzzy entropy is used as a measure of the error of the system.

UR - https://www.scopus.com/pages/publications/0030405548

M3 - Paper

AN - SCOPUS:0030405548

SP - 208

EP - 211

T2 - Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel

Y2 - 5 November 1996 through 6 November 1996

ER -

Neuro-fuzzy system for adaptive multilevel image segmentation

Abstract

Conference

ASJC Scopus subject areas

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Cite this