TY - JOUR
T1 - Inverse renormalization group transformation in Bayesian image segmentations
AU - Tanaka, Kazuyuki
AU - Kataoka, Shun
AU - Yasuda, Muneki
AU - Ohzeki, Masayuki
N1 - Publisher Copyright:
©2015 The Physical Society of Japan.
PY - 2015/4/15
Y1 - 2015/4/15
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84926443520&partnerID=8YFLogxK
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U2 - 10.7566/JPSJ.84.045001
DO - 10.7566/JPSJ.84.045001
M3 - Article
AN - SCOPUS:84926443520
VL - 84
SP - 45001
JO - Journal of the Physical Society of Japan
JF - Journal of the Physical Society of Japan
SN - 0031-9015
IS - 4
ER -