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» Noisy Image Segmentation Based on a Level Set Evolution
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IJCV
2006
164views more  IJCV 2006»
15 years 3 months ago
Stochastic Motion and the Level Set Method in Computer Vision: Stochastic Active Contours
Based on recent work on Stochastic Partial Differential Equations (SPDEs), this paper presents a simple and well-founded method to implement the stochastic evolution of a curve. F...
Olivier Juan, Renaud Keriven, Gheorghe Postelnicu
126
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SCALESPACE
2007
Springer
15 years 10 months ago
Level Set Methods for Watershed Image Segmentation
In this work a marker-controlled and regularized watershed segmentation is proposed. Only a few previous studies address the task of regularizing the obtained watershed lines from ...
Xue-Cheng Tai, Erlend Hodneland, Joachim Weickert,...
139
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DAGM
2003
Springer
15 years 9 months ago
A Generative Model Based Approach to Motion Segmentation
We address the question of how to choose between different likelihood functions for motion estimation. To this end, we formulate motion estimation as a problem of Bayesian inferen...
Daniel Cremers, Alan L. Yuille
ACCV
2006
Springer
15 years 10 months ago
Multiregion Level Set Tracking with Transformation Invariant Shape Priors
Tracking of regions and object boundaries in an image sequence is a well studied problem in image processing and computer vision. So far, numerous approaches tracking different fea...
Michael Fussenegger, Rachid Deriche, Axel Pinz
SIAMIS
2011
14 years 6 months ago
Level Set Based Multispectral Segmentation with Corners
In this paper we propose an active contour model for segmentation based on the Chan-Vese model. The new model can capture inherent sharp features, i.e., the sharp corners of object...
Wenhua Gao, Andrea L. Bertozzi