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» A probabilistic framework for image segmentation
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JMIV
2006
128views more  JMIV 2006»
13 years 7 months ago
General Adaptive Neighborhood Image Processing:
The so-called General Adaptive Neighborhood Image Processing (GANIP) approach is presented in a two parts paper dealing respectively with its theoretical and practical aspects. The...
Johan Debayle, Jean-Charles Pinoli
ICIP
2006
IEEE
14 years 9 months ago
Region-Based Active Contour with Noise and Shape Priors
In this paper, we propose to combine formally noise and shape priors in region-based active contours. On the one hand, we use the general framework of exponential family as a prio...
Eric Saloux, François Lecellier, Gilles Aub...
CVPR
2005
IEEE
14 years 1 months ago
Symmetric Stereo Matching for Occlusion Handling
In this paper, we propose a symmetric stereo model to handle occlusion in dense two-frame stereo. Our occlusion reasoning is directly based on the visibility constraint that is mo...
Jian Sun, Yin Li, Sing Bing Kang
ICIP
2000
IEEE
14 years 7 days ago
Vector Probability Diffusion
Minimal surface regularization has been used in several applications ranging from stereo to image segmentation, sometimes hidden as a graph-cut discrete formulation, or as a stric...
Alvaro Pardo, Guillermo Sapiro
IGARSS
2010
13 years 5 months ago
New hyperspectral data representation using binary partition tree
The optimal exploitation of the information provided by hyperspectral images requires the development of advanced image processing tools. This paper introduces a new hierarchical ...
Silvia Valero, Philippe Salembier, Jocelyn Chanuss...