Presentation 2008-03-12
Coarse image region segmentation using a region-based coupled MRF model and its CMOS circuit implementation
Yusuke KAWASHIMA, Daisuke ATUTI, Kazuki NAKADA, Masato OKADA, Takashi MORIE,
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Abstract(in English) Coupled Markov random field (MRF) models for coarse image region segmentation are classified into boundary and region based models. In these models, hidden variables that determine the interaction between the units corresponding to image pixels are given by a line process and a label process, respectively. Although the region-based MRF models have a disadvantage that the solution is often trapped in local minima, an improved model that uses phase variables as the hidden variables was proposed. In this paper, we simplify and improve this model, and apply it to the coarse image region segmentation task. We report its performance is superior to the resistive-fuse network, which is one of the boundary-based MRF models. We also show the results of the CMOS circuit implementation designed using our merged analog/digital architecture.
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Keyword(in English) region-based coupled MRF model / boundary-based coupled MRF model / coarse image region segmentation / merged analog-digital architecture / CMOS circuit
Paper # NC2007-120
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Committee NC
Conference Date 2008/3/5(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Coarse image region segmentation using a region-based coupled MRF model and its CMOS circuit implementation
Sub Title (in English)
Keyword(1) region-based coupled MRF model
Keyword(2) boundary-based coupled MRF model
Keyword(3) coarse image region segmentation
Keyword(4) merged analog-digital architecture
Keyword(5) CMOS circuit
1st Author's Name Yusuke KAWASHIMA
1st Author's Affiliation Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology()
2nd Author's Name Daisuke ATUTI
2nd Author's Affiliation Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
3rd Author's Name Kazuki NAKADA
3rd Author's Affiliation Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
4th Author's Name Masato OKADA
4th Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo
5th Author's Name Takashi MORIE
5th Author's Affiliation Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
Date 2008-03-12
Paper # NC2007-120
Volume (vol) vol.107
Number (no) 542
Page pp.pp.-
#Pages 6
Date of Issue