Presentation 2010-10-23
Parametric control in a region-based coupled MRF model for coarse image region segmentation towards its VLSI implementation
Haichao LIANG, Kenji MATSUZAKA, Kazuki NAKADA, Masato OKADA, Takashi MORIE,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) For visual image processing, coupled Markov random field (MRF) models have been proposed, and they are classified into boundary-based and region-based models, according to the interactions between the nodes corresponding to the image pixels. The original region-based MRF models have a local-minimum problem because of its discrete hidden variables, but an improved model has been proposed by introducing phase variables as continuous hidden variables to solve this problem. We have already modified this model by introducing piecewise linear (PWL) functions to simplify the model towards its VLSI implementation. In this paper, we investigate the controllability of the parameters of PWL functions, and evaluate the performance in the application of coarse image region segmentation. We have verified that the segmentation tuning and the processing speed can be improved by optimizing of the parameters.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) region-based coupled MRF model / boundary-based coupled MRF model / coarse image region segmentation / phase variables / piecewise linear functions / parametric control
Paper # NC2010-48
Date of Issue

Conference Information
Committee NC
Conference Date 2010/10/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Parametric control in a region-based coupled MRF model for coarse image region segmentation towards its VLSI 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) phase variables
Keyword(5) piecewise linear functions
Keyword(6) parametric control
1st Author's Name Haichao LIANG
1st Author's Affiliation Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology()
2nd Author's Name Kenji MATSUZAKA
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 2010-10-23
Paper # NC2010-48
Volume (vol) vol.110
Number (no) 246
Page pp.pp.-
#Pages 6
Date of Issue