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 and 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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IE2008-97 |
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) |
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Keyword(1) |
Multi-layered neural network |
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Image compression |
Keyword(3) |
Region segmentation |
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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 |
6 |
Date of Issue |
2008-11-21 (IE) |
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