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Update on Saturday, 20 November 2021: Paper 47.Cnf-1108@ElectriTek 2020 reaches 523 views.
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  • GC-CSC 2007
  • 2.Cnf-684
Papers Published at GC-CSC 2007
All 7 Papers
IDAuthors and TitlePages
2.Cnf-271


A New Delay Estimation and Tracking Filter for CDMA System
1-4
2.Cnf-304 Dr. Saleh Al-Jazzar
Optimum Training Data for Delay Estimation in Long Code CDMA System
5-8
2.Cnf-650 Dr. Saleh Al-Jazzar
Joint AOA/Delay/Carrier Estimation for Long Code CDMA Systems
9-13
2.Cnf-675 Dr. Saleh Al-Jazzar
Implicit Training in Multiuser Environment
14-17
2.Cnf-684 Prof. Fella Hachouf
New Fuzzy Clustering Method Based on Neural Networks and Genetic Training, Application for Color Image Segmentation
18-23
2.Cnf-690 M. Abri
Mr. Sofiane B. Hacene
Noureddine Boukli-Hacene
Miloud Bousahla
Fethi T. Bendimerad
Design of a series-line antennas array using the transmission line model
24-27
2.Cnf-702 M. Abri
A. Ikhlef
Noureddine Boukli-Hacene
Fethi T. Bendimerad
Weighted array design of an aperture coupled printed antennas
28-32
2.Cnf-684 Paper View Page
Title New Fuzzy Clustering Method Based on Neural Networks and Genetic Training, Application for Color Image Segmentation
Authors Prof. Fella Hachouf, Université Mentouri Constantine, Constantine, Algeria
Abstract The present work is an attempt to measure the efficiency of a region method in segmenting an image. To accomplish our study, we conceive a new hybrid clustering method which combines a neural network and a genetic training, in order to realize a fuzzy learning, and adapt a new tool for clustering called ACE (Alternating Cluster Estimation). The ACE is a new clustering model constituted of two update equations which, in contrast to classical models, are user specified and are not necessary relating to an objective function. The used neural network is composed of five layers each one, except the first, corresponds to a step of the fuzzy learning. The values optimised by the genetic training algorithm are the weights which represent the centres of membership functions characterizing linguistic terms. System input and output will be respectively, colorimetric components and cluster centres. The HSV color space is used in order to, partly, get rid of the RGB space correlation. The experimental results obtained using the proposed method are encouraging.
Track SISP: Signal, Image and Speech Processing
Conference 1st Mosharaka International Conference on Communications, Signals and Coding (MIC-CSC 2007)
Congress 2007 Global Congress on Communications, Signals and Coding (GC-CSC 2007), 7-9 June 2007, Amman, Jordan
Pages 18-23
Topics Neural Networks
Digital Image Processing
ISSN 2227-331X
DOI
BibTeX @inproceedings{684CSC2007,
title={New Fuzzy Clustering Method Based on Neural Networks and Genetic Training, Application for Color Image Segmentation},
author={Fella Hachouf},
booktitle={2007 Global Congress on Communications, Signals and Coding (GC-CSC 2007)},
year={2007},
pages={18-23},
doi={}},
organization={Mosharaka for Research and Studies} }
Paper Views 33 Paper Views Rank 349/524
Paper Downloads 28 Paper Downloads Rank 122/524
GC-CSC 2007 Visits: 11237||MIC-CSC 2007 Visits: 8130||SISP Track Visits: 1716