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Paper Abstract and Keywords
Presentation 2008-11-28 14:10
Region segmentation for color images based on competitive learning between multi-layered neural networks
Eiji Watanabe (Konan Univ.), Katsumi Mori (Fukuyama Univ.) IE2008-97
Abstract (in Japanese) (See Japanese page) 
(in English) Image segmentation plays an important role in image understanding.
It is necessary for such a method to extract each region consisting of images
with enough accuracy.
This report proposes an image segmentation method using multiple multi-layered neural Networks (NNs).
As well-known, we can obtain compressed representations in the hidden layer, when input patterns are identical with output patterns.
However, when images have complex features, single neural network model can not compress them with enough accuracy.
In this report, multiple NNs multi-layered neural networks is newly introduced and an image segmentation method is proposed based on the competitive learning among the compression abilities in multiple NNs.
Finally, the segmentation results by the proposed method are concretely shown by some experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-layered neural network / Image compression / Region segmentation / Competitive learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 324, IE2008-97, pp. 55-60, Nov. 2008.
Paper # IE2008-97 
Date of Issue 2008-11-21 (IE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee ITE-ME ITE-AIT ITE-BCT IE  
Conference Date 2008-11-28 - 2008-11-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagasaki Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) High Definition Image Processing, Display, etc. 
Paper Information
Registration To IE 
Conference Code 2008-11-ME-AIT-BCT-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Region segmentation for color images based on competitive learning between multi-layered neural networks 
Sub Title (in English)  
Keyword(1) Multi-layered neural network  
Keyword(2) Image compression  
Keyword(3) Region segmentation  
Keyword(4) Competitive learning  
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1st Author's Name Eiji Watanabe  
1st Author's Affiliation Konan University (Konan Univ.)
2nd Author's Name Katsumi Mori  
2nd Author's Affiliation Fukuyama University (Fukuyama Univ.)
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Speaker Author-1 
Date Time 2008-11-28 14:10:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # IE2008-97 
Volume (vol) vol.108 
Number (no) no.324 
Page pp.55-60 
#Pages
Date of Issue 2008-11-21 (IE) 


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