Paper Abstract and Keywords |
Presentation |
2010-03-16 12:20
A Fundamental Study on the Effectiveness of Network-Structured Image Filter Generation Method in Traffic Sign Extraction Hiroshi Maeda, Satoshi Ono, Shigeru Nakayama (Kagoshima Univ) PRMU2009-298 HIP2009-183 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Over the past few years, studies have been performed on filter generation methods for image
processing with genetic algorithm (GA) or genetic programming (GP).
The existing methods
generate various filters by combining existing primitive filters,
and facilitate development of image processing filter.
Automatic generation methods for list- and tree-structured image processing filter were proposed.
In recent years a method for network-structured filter generation by GA has been proposed.
Toward improvements of the network-structured filter generation method,
this paper applies the method to traffic sign extraction problem, and analyses obtained network-structured filters. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Genetic Image Network / genetic algorithm / traffic sign extraction / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 470, PRMU2009-298, pp. 383-388, March 2010. |
Paper # |
PRMU2009-298 |
Date of Issue |
2010-03-08 (PRMU, HIP) |
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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PRMU2009-298 HIP2009-183 |
Conference Information |
Committee |
PRMU HIP |
Conference Date |
2010-03-15 - 2010-03-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kagoshima Univ. |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2010-03-PRMU-HIP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Fundamental Study on the Effectiveness of Network-Structured Image Filter Generation Method in Traffic Sign Extraction |
Sub Title (in English) |
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Keyword(1) |
Genetic Image Network |
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genetic algorithm |
Keyword(3) |
traffic sign extraction |
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1st Author's Name |
Hiroshi Maeda |
1st Author's Affiliation |
Kagoshima University (Kagoshima Univ) |
2nd Author's Name |
Satoshi Ono |
2nd Author's Affiliation |
Kagoshima University (Kagoshima Univ) |
3rd Author's Name |
Shigeru Nakayama |
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Kagoshima University (Kagoshima Univ) |
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Speaker |
Author-1 |
Date Time |
2010-03-16 12:20:00 |
Presentation Time |
25 minutes |
Registration for |
PRMU |
Paper # |
PRMU2009-298, HIP2009-183 |
Volume (vol) |
vol.109 |
Number (no) |
no.470(PRMU), no.471(HIP) |
Page |
pp.383-388 |
#Pages |
6 |
Date of Issue |
2010-03-08 (PRMU, HIP) |
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