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» Level set image segmentation with Bayesian analysis
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PAMI
2006
181views more  PAMI 2006»
14 years 11 months ago
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
Efficient segmentation of globally optimal surfaces representing object boundaries in volumetric data sets is important and challenging in many medical image analysis applications....
Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka
DAGM
1998
Springer
15 years 3 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
IBPRIA
2003
Springer
15 years 4 months ago
Pixel-Based Texture Classification by Integration of Multiple Texture Feature Evaluation Windows
A wide variety of texture feature extraction methods have been proposed for texture based image classification and segmentation. These methods are typically evaluated over windows...
Domènec Puig, Miguel Angel García
SCALESPACE
1999
Springer
15 years 3 months ago
Nonlinear PDEs and Numerical Algorithms for Modeling Levelings and Reconstruction Filters
In this paper we develop partial differential equations (PDEs) that model the generation of a large class of morphological filters, the levelings and the openings/closings by rec...
Petros Maragos, Fernand Meyer
BMCBI
2007
106views more  BMCBI 2007»
14 years 11 months ago
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework
Background: Serial Analysis of Gene Expression (SAGE) is a high-throughput method for inferring mRNA expression levels from the experimentally generated sequence based tags. Stand...
Michael A. Gilchrist, Hong Qin, Russell L. Zaretzk...