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» Modeling vs. Segmenting Images Using A Probabilistic Approac...
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ICIP
2005
IEEE
14 years 10 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski
ICIAR
2004
Springer
14 years 2 months ago
A Fast Probabilistic Bidirectional Texture Function Model
The bidirectional texture function (BTF) describes rough texture appearance variations due to varying illumination and viewing conditions. Such a function consists of thousands of ...
Michal Haindl, Jirí Filip
ISMDA
2004
Springer
14 years 2 months ago
A New Approach to Automatic Segmentation of Bone in Medical Magnetic Resonance Imaging
This paper presents the modelling and segmentation with correction of inhomogeneity in magnetic resonance imaging of shoulder. For that purpose a new heuristic is proposed using a ...
Gabriela Pérez, Raquel Montes Diez, Juan An...
MICCAI
2004
Springer
14 years 9 months ago
: Multi-subject Registration for Unbiased Statistical Atlas Construction
This paper introduces a new similarity measure designed to bring a population of segmented subjects into alignment in a common coordinate system. Our metric aligns each subject wit...
Mathieu De Craene, Aloys du Bois d'Aische, Beno&ic...
DAGM
2010
Springer
13 years 5 months ago
A Model-Based Approach to the Segmentation of Nasal Cavity and Paranasal Sinus Boundaries
We present a model-driven approach to the segmentation of nasal cavity and paranasal sinus boundaries. Based on computed tomography data of a patients head, our approach aims to ex...
Carsten Last, Simon Winkelbach, Friedrich M. Wahl,...