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» A Markov Random Field Model for Medical Image Denoising
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ICIP
2008
IEEE
16 years 18 days ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee
MICCAI
2010
Springer
15 years 4 months ago
Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs
Abstract. Deformable surface models are often represented as triangular meshes in image segmentation applications. For a fast and easily regularized deformation onto the target obj...
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Ste...
IJCV
2008
172views more  IJCV 2008»
15 years 5 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
MICCAI
2002
Springer
16 years 7 months ago
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
David T. Gering, W. Eric L. Grimson, Ron Kikinis
ICIP
2008
IEEE
16 years 8 months ago
Modeling spatial patterns of shapes
We introduce a framework for modeling spatial patterns of shapes formed by multiple objects in an image. Our approach is graph-based where each node denotes an object and attribut...
Anuj Srivastava, Wei Liu, Shantanu H. Joshi