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ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
13 years 7 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
SCIA
2005
Springer
186views Image Analysis» more  SCIA 2005»
14 years 3 months ago
Levelset and B-Spline Deformable Model Techniques for Image Segmentation: A Pragmatic Comparative Study
Deformable contours are now widely used in image segmentation, using different models, criteria and numeric schemes. Some theoretical comparisons between few deformable model met...
Diane Lingrand, Johan Montagnat
ICIP
2009
IEEE
14 years 11 months ago
Hierarchical Region-based Representation For Segmentation And Filtering With Depth In Single Images
This paper presents an algorithm for tree-based representation of single images and its applications to segmentation and filtering with depth. In a our recent work, we have addres...
JMIV
2006
124views more  JMIV 2006»
13 years 10 months ago
Segmentation of a Vector Field: Dominant Parameter and Shape Optimization
Vector field segmentation methods usually belong to either of three classes: methods which segment regions homogeneous in direction and/or norm, methods which detect discontinuiti...
Tristan Roy, Eric Debreuve, Michel Barlaud, Gilles...
ICML
2005
IEEE
14 years 11 months ago
Variational Bayesian image modelling
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang