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ICIP
2006
IEEE
16 years 8 months ago
Variational Unsupervised Segmentation of Multi-Look Complex Polarimetric Images using a Wishart Observation Model
We address unsupervised variational segmentation ofmulti-look complex polarimetric images using a Wishart observation model via level sets. The methods consists of minimizing a fu...
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj
MICCAI
2008
Springer
16 years 7 months ago
Kinetic Modeling Based Probabilistic Segmentation for Molecular Images
Abstract. We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncer...
Ahmed Saad, Benjamin Smith 0002, Ghassan Hamarneh,...
ICCV
2003
IEEE
15 years 11 months ago
A Model-Based Approach for Automated Feature Extraction in Fundus Images
A new approach to automatically extract the main features in color fundus images are proposed in this paper. Optic disk is localized by the principal component analysis (PCA) and ...
Huiqi Li, Opas Chutatape
DAGM
1998
Springer
15 years 10 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ICIAP
1997
ACM
15 years 10 months ago
The Terminological Image Retrieval Model
We present a model for image retrieval in which images are represented both at the form level, as sets of physical features of the representing objects, and at the content level, a...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...