2015年4月
Inverse Renormalization Group Transformation in Bayesian Image Segmentations
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN
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- 巻
- 84
- 号
- 4
- 記述言語
- 英語
- 掲載種別
- 機関テクニカルレポート,技術報告書,プレプリント等
- DOI
- 10.7566/JPSJ.84.045001
- 出版者・発行元
- PHYSICAL SOC JAPAN
A new Bayesian image segmentation algorithm is proposed by combining a loopy belief propagation with an inverse real space renormalization group transformation to reduce the computational time. In results of our experiment, we observe that the proposed method can reduce the computational time to less than one-tenth of that taken by conventional Bayesian approaches.
- リンク情報
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- DOI
- https://doi.org/10.7566/JPSJ.84.045001
- arXiv
- http://arxiv.org/abs/arXiv:1501.00834
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000352266100025&DestApp=WOS_CPL
- URL
- http://arxiv.org/abs/1501.00834v1
- ID情報
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- DOI : 10.7566/JPSJ.84.045001
- ISSN : 0031-9015
- arXiv ID : arXiv:1501.00834
- Web of Science ID : WOS:000352266100025