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» A statistical framework for DTI segmentation
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CVPR
1997
IEEE
15 years 3 months ago
Prediction Intervals for Surface Growing Range Segmentation
The surface growing framework presented by Besl and Jain [2] has served as the basis for many range segmentation techniques. It has been augmented with alternative fitting techni...
James V. Miller, Charles V. Stewart
ICIP
2001
IEEE
16 years 1 months ago
Region-based approach for discriminant snakes
This paper proposes a statistic framework for segmenting textured areas over real images by discriminant snakes. Our active contour model has the ability to learn different textur...
Jordi Vitrià, Petia Radeva
97
Voted
PR
2000
153views more  PR 2000»
14 years 11 months ago
A region-level motion-based graph representation and labeling for tracking a spatial image partition
This paper addresses two image sequence analysis issues under a common framework. These tasks are, "rst, motion-based segmentation and second, updating and tracking over time...
Marc Gelgon, Patrick Bouthemy
109
Voted
ICCV
2001
IEEE
16 years 1 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
ASIAMS
2007
IEEE
15 years 6 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal