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» A probabilistic framework for image segmentation
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SOCO
2008
Springer
13 years 7 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi
ASIAMS
2007
IEEE
14 years 2 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
ECCV
2004
Springer
14 years 9 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
PAMI
2002
127views more  PAMI 2002»
13 years 7 months ago
Relative Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation
The notion of fuzzy connectedness captures the idea of "hanging-togetherness" of image elements in an object by assigning a strength of connectedness to every possible pa...
Jayaram K. Udupa, Punam K. Saha, Roberto de Alenca...
SCALESPACE
2009
Springer
14 years 2 months ago
An Edge-Preserving Multilevel Method for Deblurring, Denoising, and Segmentation
We present a fast edge-preserving cascadic multilevel image restoration method for reducing blur and noise in contaminated images. The method also can be applied to segmentation. O...
Serena Morigi, Lothar Reichel, Fiorella Sgallari