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Paper Abstract and Keywords
Presentation 2010-10-23 15:20
Parametric control in a region-based coupled MRF model for coarse image region segmentation towards its VLSI implementation
Haichao Liang, Kenji Matsuzaka, Kazuki Nakada (Kyushu Inst of Tech), Masato Okada (Univ. of Tokyo/RIKEN), Takashi Morie (Kyushu Inst of Tech) NC2010-48
Abstract (in Japanese) (See Japanese page) 
(in English) For visual image processing, coupled Markov random field (MRF) models have been proposed, and they are classified into boundary-based and region-based models, according to the interactions between the nodes corresponding to the image pixels. The original region-based MRF models have a local-minimum problem because of its discrete hidden variables, but an improved model has been proposed by introducing phase variables as continuous hidden variables to solve this problem. We have already modified this model by introducing piecewise linear (PWL) functions to simplify the model towards its VLSI implementation. In this paper, we investigate the controllability of the parameters of PWL functions, and evaluate the performance in the application of coarse image region segmentation. We have verified that the segmentation tuning and the processing speed can be improved by optimizing of the parameters.
Keyword (in Japanese) (See Japanese page) 
(in English) region-based coupled MRF model / boundary-based coupled MRF model / coarse image region segmentation / phase variables / piecewise linear functions / parametric control / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 246, NC2010-48, pp. 35-40, Oct. 2010.
Paper # NC2010-48 
Date of Issue 2010-10-16 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 NC  
Conference Date 2010-10-23 - 2010-10-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Inst. Tech. (Kitakyushu Sci. and Res. Park) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Implementation and Systemization of Neurocomputing 
Paper Information
Registration To NC 
Conference Code 2010-10-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Parametric control in a region-based coupled MRF model for coarse image region segmentation towards its VLSI implementation 
Sub Title (in English)  
Keyword(1) region-based coupled MRF model  
Keyword(2) boundary-based coupled MRF model  
Keyword(3) coarse image region segmentation  
Keyword(4) phase variables  
Keyword(5) piecewise linear functions  
Keyword(6) parametric control  
Keyword(7)  
Keyword(8)  
1st Author's Name Haichao Liang  
1st Author's Affiliation Kyushu Institute of Technology (Kyushu Inst of Tech)
2nd Author's Name Kenji Matsuzaka  
2nd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst of Tech)
3rd Author's Name Kazuki Nakada  
3rd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst of Tech)
4th Author's Name Masato Okada  
4th Author's Affiliation The University of Tokyo/RIKEN (Univ. of Tokyo/RIKEN)
5th Author's Name Takashi Morie  
5th Author's Affiliation Kyushu Institute of Technology (Kyushu Inst of Tech)
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Speaker Author-1 
Date Time 2010-10-23 15:20:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2010-48 
Volume (vol) vol.110 
Number (no) no.246 
Page pp.35-40 
#Pages
Date of Issue 2010-10-16 (NC) 


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