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» Level set image segmentation with Bayesian analysis
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ICDAR
2009
IEEE
15 years 10 months ago
Script-Independent Handwritten Textlines Segmentation Using Active Contours
Handwritten document images contain textlines with multi orientations, touching and overlapping characters within consecutive textlines, and small inter-line spacing making textli...
Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breu...
IBPRIA
2007
Springer
15 years 9 months ago
Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...
Sónia Pelizzari, José M. Bioucas-Dia...
135
Voted
IPMI
2007
Springer
16 years 4 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
CVPR
2006
IEEE
16 years 5 months ago
On Manifold Structure of Cardiac MRI Data: Application to Segmentation
We develop theory and algorithms to incorporate image manifold constraints in a level set segmentation algorithm. This provides a framework to simultaneously segment every image o...
Qilong Zhang, Richard Souvenir, Robert Pless
138
Voted
ECCV
2010
Springer
15 years 5 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...