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Paper Abstract and Keywords
Presentation 2010-02-16 10:00
Perceptual Segmentation of Natural Color Images by Fuzzy-Based Split-and-Merge Algorithm and It's Evaluation
Tatsuya Higashikawa, Junji Maeda (Muroran Inst. of Tech.) ITS2009-72 IE2009-166
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this paper is to develop the perceptual segmentation algorithm of natural color images, and to quantitatively evaluate the algorithm using ground truth images that are human-segmented results. We propose the fuzzy-based split-and-merge algorithm as perceptual segmentation method that integrates color features and texture features by using fuzzy inference. We perform the comparative experiments of the proposed method in comparison with the other methods to demonstrate the effectiveness of the proposed method, in which the Normalized Probabilistic Rand Index and the Dongen Index are used as the measures of evaluation with ground truth images.
Keyword (in Japanese) (See Japanese page) 
(in English) Perceptual segmentation / fuzzy-based split-and-merge algorithm / statistical geometrical features / evaluation / ground truth / Normalized Probabilistic Rand Index / Dongen Index /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 414(ITS), 415(IE), ITS2009-72, IE2009-166, pp. 197-202, Feb. 2010.
Paper #  
Date of Issue 2010-02-08 (ITS, 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)
Download PDF ITS2009-72 IE2009-166

Conference Information
Committee ITE-AIT IE ITE-HI ITE-ME ITS  
Conference Date 2010-02-15 - 2010-02-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Graduate School of Information and Technology, Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ITE-ME 
Conference Code 2010-02-AIT-IE-HI-ME-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Perceptual Segmentation of Natural Color Images by Fuzzy-Based Split-and-Merge Algorithm and It's Evaluation 
Sub Title (in English)  
Keyword(1) Perceptual segmentation  
Keyword(2) fuzzy-based split-and-merge algorithm  
Keyword(3) statistical geometrical features  
Keyword(4) evaluation  
Keyword(5) ground truth  
Keyword(6) Normalized Probabilistic Rand Index  
Keyword(7) Dongen Index  
Keyword(8)  
1st Author's Name Tatsuya Higashikawa  
1st Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
2nd Author's Name Junji Maeda  
2nd Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
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Speaker
Date Time 2010-02-16 10:00:00 
Presentation Time 25 
Registration for ITE-ME 
Paper # IEICE-ITS2009-72,IEICE-IE2009-166 
Volume (vol) IEICE-109 
Number (no) no.414(ITS), no.415(IE) 
Page pp.197-202 
#Pages IEICE-6 
Date of Issue IEICE-ITS-2010-02-08,IEICE-IE-2010-02-08 


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