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ICIP
2009
IEEE
14 years 9 months ago
Random swap EM algorithm for finite mixture models in image segmentation
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...
IPCV
2008
15 years 1 months ago
A Faster-converging Algorithm for Image Segmentation with a Modified Chan-Vese Model
We propose an algorithm for segmentation of grayscale images. Our algorithm computes a solution to the convex, unconstrained minimization problem proposed by T. Chan, S. Esedo
Rick Chartrand, Valentina Staneva
MIAR
2006
IEEE
15 years 5 months ago
Pulsative Flow Segmentation in MRA Image Series by AR Modeling and EM Algorithm
Segmentation of CSF and pulsative blood flow, based on a single phase contrast MRA (PC-MRA) image can lead to imperfect classifications. In this paper, we present a novel automated...
Ali Gooya, Hongen Liao, Kiyoshi Matsumiya, Ken Mas...
CIVR
2004
Springer
194views Image Analysis» more  CIVR 2004»
15 years 5 months ago
A Test-Bed for Region-Based Image Retrieval Using Multiple Segmentation Algorithms and the MPEG-7 eXperimentation Model: The Sch
The aim of the SCHEMA Network of Excellence is to bring together a critical mass of universities, research centers, industrial partners and end users, in order to design a referenc...
Vasileios Mezaris, Haralambos Doulaverakis, Raul M...
IJCV
2006
116views more  IJCV 2006»
14 years 11 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...