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» Supervised Image Segmentation Using Markov Random Fields
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CRV
2009
IEEE
237views Robotics» more  CRV 2009»
15 years 6 months ago
SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation
The use of synthetic aperture radar (SAR) has become an integral part of sea-ice monitoring and analysis in the polar regions. An important task in sea-ice analysis is to segment ...
Alexander Wong, David A. Clausi, Paul W. Fieguth
CVPR
2009
IEEE
16 years 7 months ago
Increased Discrimination in Level Set Methods with Embedded Conditional Random Fields
We propose a novel approach for improving level set seg- mentation methods by embedding the potential functions from a discriminatively trained conditional random field (CRF) in...
Dana Cobzas (University of Alberta), Mark Schmidt ...
MICCAI
2010
Springer
14 years 10 months ago
Joint Registration and Segmentation of Dynamic Cardiac Perfusion Images Using MRFs
In this paper we propose a Markov random field (MRF) based method for joint registration and segmentation of cardiac perfusion images, specifically the left ventricle (LV). MRFs ...
Dwarikanath Mahapatra, Ying Sun
CVPR
2010
IEEE
15 years 8 months ago
Vessel Scale Selection using MRF Optimization
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
Hengameh Mirzaalian, Ghassan Hamarneh
PR
2010
148views more  PR 2010»
14 years 10 months ago
Registration and interactive planar segmentation for stereo images of polyhedral scenes
We introduce a two-step iterative segmentation and registration method to find coplanar surfaces among stereo images of a polyhedral environment. The novelties of this paper are:...
Javier-Flavio Vigueras, Mariano Rivera