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» A probabilistic framework for image segmentation
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PAMI
2012
11 years 10 months ago
Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images
—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction given a series of calibrated 2D images. Instead of segmenting each image separately i...
Kalin Kolev, Thomas Brox, Daniel Cremers
BILDMED
2004
125views Algorithms» more  BILDMED 2004»
13 years 9 months ago
Fast and Accurate Interactive Image Segmentation in the GEOMAP Framework
Although many interactive segmentation methods exists, none can be considered a silver bullet for all clinical tasks. Moreover, incompatible data representations prevent multiple a...
Hans Meine, Ullrich Köthe, H. Siegfried Stieh...
ICIP
2007
IEEE
14 years 9 months ago
A Variational Approach to Exploit Prior Information in Object-Background Segregation: Application to Retinal Images
One of the main challenges in image segmentation is to adapt prior knowledge about the objects/regions that are likely to be present in an image, in order to obtain more precise d...
Luca Bertelli, Jiyun Byun, B. S. Manjunath
IJCV
2002
188views more  IJCV 2002»
13 years 7 months ago
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
We propose a new multiphase level set framework for image segmentation using the Mumford and Shah model, for piecewise constant and piecewise smooth optimal approximations. The pro...
Luminita A. Vese, Tony F. Chan
PAMI
2006
99views more  PAMI 2006»
13 years 7 months ago
A New Convexity Measure Based on a Probabilistic Interpretation of Images
In this article we present a novel convexity measure for object shape analysis. The proposed method is based on the idea of generating pairs of points from a set, and measuring th...
Esa Rahtu, Mikko Salo, Janne Heikkilä