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BMVC
1997
13 years 9 months ago
Multi-Level Probabilistic Relaxation
We present a multi-level probabilistic relaxation scheme appropriate for image segmentation on the basis of features computed at various resolution levels. At each level, we incor...
Maria Petrou, Majid Mirmehdi, M. Coors
DGCI
2008
Springer
13 years 9 months ago
Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization
Abstract. Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it i...
Kees Joost Batenburg, Jan Sijbers
EMMCVPR
2005
Springer
14 years 1 months ago
Brain Image Analysis Using Spherical Splines
We propose a novel technique based on spherical splines for brain surface representation and analysis. This research is strongly inspired by the fact that, for brain surfaces, it i...
Ying He 0001, Xin Li, Xianfeng Gu, Hong Qin
ECCV
2006
Springer
13 years 11 months ago
Direct Segmentation of Multiple 2-D Motion Models of Different Types
We propose a closed form solution for segmenting mixtures of 2-D translational and 2-D affine motion models directly from the image intensities. Our approach exploits the fact that...
Dheeraj Singaraju, René Vidal
ICIP
2000
IEEE
14 years 9 months ago
Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications
We present an estimation-theoretic approach to curve evolution for the Mumford-Shah problem. By viewing an active contour as the set of discontinuities in the Mumford-Shah problem...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky