2P1-N-032 Extracting organization shape from CT image using Markov random field(Machine Vision and Visual Inspection,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

2005 ◽  
Vol 2005 (0) ◽  
pp. 184
Author(s):  
Satoshi Koike ◽  
Hiroyuki Ogata
Keyword(s):  
Machine Vision ◽  
Random Field ◽  
Markov Random Field ◽  
Visual Inspection ◽  
Ct Image ◽  
Daily Lives ◽  
Markov Random

Concrete CT Image Modified Metropolis Dynamics Segmentation Method Based on Markov Random Field

2010 ◽  
Vol 39 (9) ◽  
pp. 1693-1696
Author(s):  
赵亮 ZHAO Liang ◽  
李昌华 LI Chang-hua ◽  
党发宁 DANG Fa-ning ◽  
陈登峰 CHEN Deng-feng ◽  
徐胜君 XU Sheng-jun
Keyword(s):  
Random Field ◽  
Markov Random Field ◽  
Ct Image ◽  
Segmentation Method ◽  
Markov Random

Lung 4D CT Image Registration Based on High-Order Markov Random Field

2020 ◽  
Vol 39 (4) ◽  
pp. 910-921
Author(s):  
Peng Xue ◽  
Enqing Dong ◽  
Huizhong Ji
Keyword(s):  
Image Registration ◽  
Random Field ◽  
Markov Random Field ◽  
High Order ◽  
Ct Image ◽  
4D Ct ◽  
Markov Random

Fusion Moves for Markov Random Field Optimization

2010 ◽  
Vol 32 (8) ◽  
pp. 1392-1405 ◽  
Author(s):  
Victor Lempitsky ◽  
Carsten Rother ◽  
Stefan Roth ◽  
Andrew Blake
Keyword(s):  
Random Field ◽  
Markov Random Field ◽  
Markov Random

scholarly journals Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model

2013 ◽  
Vol 10 (1) ◽  
pp. 96-100 ◽  
Author(s):  
Aurelie Voisin ◽  
Vladimir A. Krylov ◽  
Gabriele Moser ◽  
Sebastiano B. Serpico ◽  
Josiane Zerubia
Keyword(s):  
High Resolution ◽  
Random Field ◽  
Markov Random Field ◽  
Urban Areas ◽  
Field Model ◽  
Sar Images ◽  
Markov Random Field Model ◽  
Markov Random ◽  
Very High
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