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» Estimating Markov Random Field Potentials for Natural Images
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ISBI
2006
IEEE
14 years 8 months ago
A tightly coupled region-shape framework for 3D medical image segmentation
Most hybrid 3D segmentation methods either heuristically couple the respective algorithm or combine a true 3D with a 2D algorithm due to computational considerations. In this pape...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICPR
2002
IEEE
14 years 8 months ago
Multicue MRF Image Segmentation: Combining Texture and Color Features
Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature...
Zoltan Kato, Ting-Chuen Pong, Song Guo Qiang
IDA
2009
Springer
14 years 5 days ago
Image Source Separation Using Color Channel Dependencies
We investigate the problem of source separation in images in the Bayesian framework using the color channel dependencies. As a case in point we consider the source separation of co...
Koray Kayabol, Ercan E. Kuruoglu, Bülent Sank...
CVPR
2011
IEEE
13 years 2 months ago
Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model
In this paper, we propose a novel framework to jointly recover the illumination environment and an estimate of the cast shadows in a scene from a single image, given coarse 3D geo...
Alexandros Panagopoulos, Chaohui Wang, Dimitris Sa...
IVC
1998
65views more  IVC 1998»
13 years 7 months ago
Segmentation of MR images with intensity inhomogeneities
A statistical model to segment clinical magnetic resonance (MR) images in the presence of noise and intensity inhomogeneities is proposed. Inhomogeneities are considered to be mul...
Jagath C. Rajapakse, Frithjof Kruggel