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VC
2011
161views more  VC 2011»
13 years 7 months ago
A GPU framework for parallel segmentation of volumetric images using discrete deformable models
Despite the ability of current GPU processors to treat heavy parallel computation tasks, its use for solving medical image segmentation problems is still not fully exploited and re...
Jérôme Schmid, José Antonio Ig...
CAIP
1995
Springer
189views Image Analysis» more  CAIP 1995»
14 years 4 months ago
Spatial and Feature Space Clustering: Applications in Image Analysis
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
Jiri Matas, Josef Kittler
CEC
2009
IEEE
14 years 7 months ago
Evolutionary image segmentation based on multiobjective clustering
— In the fields of image processing and recognition, image segmentation is an important basic technique in which an image is partitioned into multiple regions (sets of pixels). ...
Shinichi Shirakawa, Tomoharu Nagao
MICCAI
2004
Springer
15 years 1 months ago
Shape Particle Filtering for Image Segmentation
Abstract. Deformable template models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with loca...
Marleen de Bruijne, Mads Nielsen
ICPR
2006
IEEE
15 years 1 months ago
Measurement Function Design for Visual Tracking Applications
Extracting human postural information from video sequences has proved a difficult research question. The most successful approaches to date have been based on particle filtering, ...
Andrew W. B. Smith, Brian C. Lovell
ICIP
2002
IEEE
15 years 2 months ago
Nonparametric methods for image segmentation using information theory and curve evolution
In this paper, we present a novel information theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the ...
Alan S. Willsky, Anthony J. Yezzi Jr., John W. Fis...
ICCV
2007
IEEE
15 years 2 months ago
Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs
While the majority of competitive image segmentation methods are based on energy minimization, only few allow to efficiently determine globally optimal solutions. A graphtheoretic...
Thomas Schoenemann, Daniel Cremers