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ICPR
2004
IEEE
15 years 11 months ago
Unsupervised Image Segmentation Using A Simple MRF Model with A New Implementation Scheme
A Markov random field (MRF) model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model...
David A. Clausi, Huawu Deng
ISBI
2011
IEEE
14 years 1 months ago
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
ICIP
2006
IEEE
15 years 11 months ago
Region-Based Shape Incorporation for Probabilistic Spatio-Temporal Video Object Segmentation
Embedding generic shape information into probabilistic spatiotemporal video object segmentation is of pivotal importance to achieving better segmentation, since it provides valuab...
Rakib Ahmed, Gour C. Karmakar, Laurence S. Dooley
ECCV
2008
Springer
16 years 2 months ago
Co-Recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration
We introduce a new concept of co-recognition for object-level image matching between an arbitrary image pair. Our method augments putative local regionmatches to reliable object-...
Minsu Cho (Seoul National University), Young Min S...
AIME
1997
Springer
15 years 2 months ago
Rule-Based Labeling of CT Head Image
A rule-based approach to the labeling of computed tomography CT head images containing intracerebral brain hemorrhage ICH is presented in this paper. Fully automated segmentat...
Dubravko Cosic, Sven Loncaric