| Presentation | 2011-07-26 Image Segmentation and Restoration using Region-Based Hidden Variables and Belief Propagation Ryota HASEGAWA, Masato OKADA, Seiji MIYOSHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We derive a deterministic algorithm that restores and segments an image using belief propagation and a variational Bayesian method based on region-based latent variables and a coupled MRF model. This algorithm estimates two hyperparameters as well as infers the original image and the latent variables. In addition, the algorithm carries out model selection by minimizing the variational free energy. Through experiments using an artificial image and a natural image degraded by Gaussian noises, we show that the derived algorithm has the potential ability to restore and segment using a single noisy image. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image restoration / image segmentation / region-based latent variables / belief propagation / variational Bayesian method |
| Paper # | NC2011-35 |
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| Committee | NC |
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| Conference Date | 2011/7/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image Segmentation and Restoration using Region-Based Hidden Variables and Belief Propagation |
| Sub Title (in English) | |
| Keyword(1) | Image restoration |
| Keyword(2) | image segmentation |
| Keyword(3) | region-based latent variables |
| Keyword(4) | belief propagation |
| Keyword(5) | variational Bayesian method |
| 1st Author's Name | Ryota HASEGAWA |
| 1st Author's Affiliation | Kansai university() |
| 2nd Author's Name | Masato OKADA |
| 2nd Author's Affiliation | The University of Tokyo |
| 3rd Author's Name | Seiji MIYOSHI |
| 3rd Author's Affiliation | Kansai university |
| Date | 2011-07-26 |
| Paper # | NC2011-35 |
| Volume (vol) | vol.111 |
| Number (no) | 157 |
| Page | pp.pp.- |
| #Pages | 6 |
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