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» Variational image segmentation using boundary functions
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CVPR
2009
IEEE
15 years 2 months ago
Global Active Contour-based Image Segmentation via Probability Alignment
Active contours is a popular technique for image segmentation. However, active contour tend to converge to the closest local minimum of its energy function and often requires a ...
Andriy Myronenko, Xubo B. Song
CVPR
1998
IEEE
14 years 9 months ago
Image Segmentation Using Local Variation
We present a new graph-theoretic approach to the problem of image segmentation. Our method uses local criteria and yet produces results that reflect global properties of the image...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
IJCV
2006
205views more  IJCV 2006»
13 years 7 months ago
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
We propose a variational framework for the integration of multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional wi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...
MICCAI
2008
Springer
14 years 8 months ago
Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph
Automatic image analysis of histopathology specimens would help the early detection of blood cancer. The first step for automatic image analysis is segmentation. However, touching ...
Lin Yang, Oncel Tuzel, Peter Meer, David J. For...
DAGM
2008
Springer
13 years 9 months ago
Convex Hodge Decomposition of Image Flows
The total variation (TV) measure is a key concept in the field of variational image analysis. Introduced by Rudin, Osher and Fatemi in connection with image denoising, it also prov...
Jing Yuan, Gabriele Steidl, Christoph Schnörr