Inverse renormalization group transformation in Bayesian image segmentations

Kazuyuki Tanaka; Shun Kataoka; Muneki Yasuda; Masayuki Ohzeki

doi:10.7566/JPSJ.84.045001

Inverse renormalization group transformation in Bayesian image segmentations

Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, Masayuki Ohzeki

INF - Applied Information Sciences

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Number of pages	1
Journal	journal of the physical society of japan
Volume	84
Issue number	4
DOIs	https://doi.org/10.7566/JPSJ.84.045001
Publication status	Published - 2015 Apr 15

ASJC Scopus subject areas

Physics and Astronomy(all)

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title = "Inverse renormalization group transformation in Bayesian image segmentations",

abstract = "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.",

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year = "2015",

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AU - Tanaka, Kazuyuki

AU - Kataoka, Shun

AU - Yasuda, Muneki

AU - Ohzeki, Masayuki

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AB - 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.

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JF - Journal of the Physical Society of Japan

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