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| Presentation | 2010-11-04 15:00 [Poster Presentation] Image Segmentation by Region-Based Latent Variables and Belief Propagation Ryota Hasegawa, Seiji Miyoshi (Kansai Univ.), Masato Okada (Univ. of Tokyo)  IBISML2010-71 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | To represent edges in image processing based on Bayesian inference, it is very effective to introduce latent variables. In this paper, we derive a deterministic algorithm that restores and segments an image by using belief propagation and a variational inference method based on region-based latent variables and a coupled MRF model. This algorithm estimates two hyper-parameters as well as infers the original image and the latent variables. In addition, the algorithm carries out the model selection by minimizing variational free energy. Through experiments using an artificial image generated by heat bath method and a natural image degraded by Gaussian noises, we show that the derived algorithm has a potential ability to restore and segment using only one noisy image. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Bayesian inference / image restoration / image segmentation / region-based latent variables / model selection / hyper-parameter estimation / belief propagation / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 265, IBISML2010-71, pp. 91-97, Nov. 2010. | |
| Paper # | IBISML2010-71 | |
| Date of Issue | 2010-10-28 (IBISML) | |
| 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 | IBISML2010-71 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2010-11-04 - 2010-11-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | IIS, Univ. of Tokyo |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | IBIS 2010 (Workshop on Information-based Induction Sciences) |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2010-11-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image Segmentation by Region-Based Latent Variables and Belief Propagation |
| Sub Title (in English) | |
| Keyword(1) | Bayesian inference |
| Keyword(2) | image restoration |
| Keyword(3) | image segmentation |
| Keyword(4) | region-based latent variables |
| Keyword(5) | model selection |
| Keyword(6) | hyper-parameter estimation |
| Keyword(7) | belief propagation |
| Keyword(8) | |
| 1st Author's Name | Ryota Hasegawa |
| 1st Author's Affiliation | Kansai University (Kansai Univ.) |
| 2nd Author's Name | Seiji Miyoshi |
| 2nd Author's Affiliation | Kansai University (Kansai Univ.) |
| 3rd Author's Name | Masato Okada |
| 3rd Author's Affiliation | University of Tokyo (Univ. of Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2010-11-04 15:00:00 |
| Presentation Time | 180 minutes |
| Registration for | IBISML |
| Paper # | IBISML2010-71 |
| Volume (vol) | vol.110 |
| Number (no) | no.265 |
| Page | pp.91-97 |
| #Pages | 7 |
| Date of Issue | 2010-10-28 (IBISML) |
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