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 |
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Number of pages | 1 |
Journal | journal of the physical society of japan |
Volume | 84 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2015 Apr 15 |
ASJC Scopus subject areas
- Physics and Astronomy(all)