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» Level Set Methods for Watershed Image Segmentation
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CVPR
2008
IEEE
14 years 10 months ago
Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions
In this work, we introduce a novel implicit representation of shape which is based on assigning to each pixel a probability that this pixel is inside the shape. This probabilistic...
Daniel Cremers, Frank R. Schmidt, Frank Barthel
TIP
2008
153views more  TIP 2008»
13 years 8 months ago
Generalized Flooding and Multicue PDE-Based Image Segmentation
Image segmentation remains an important, but hard-to-solve, problem since it appears to be application dependent with usually no a priori information available regarding the image ...
Anastasia Sofou, Petros Maragos
ICIP
2009
IEEE
14 years 9 months ago
Segmentation On Surfaces With The Closest Point Method
We propose a method to detect objects and patterns in textures on general surfaces. Our approach applies the Chan?Vese variational model for active contours without edges to the p...
ICPR
2002
IEEE
14 years 10 months ago
Fast Extraction of Tubular and Tree 3D Surfaces with Front Propagation Methods
We present a new fast approach for surface segmentation of thin structures, like vessels and vascular trees, based on Fast Marching and Level Sets methods. Fast Marching allows se...
Thomas Deschamps, Laurent D. Cohen
ICIP
2010
IEEE
13 years 6 months ago
Pyramidal segmentation using higher-order local auto-correlations and its applications to Landsat forestry data
The goal of image segmentation is to partition an image into regions that are internally homogeneous and heterogeneous with respect to neighbouring regions. Recently, a link shifti...
Milos Stojmenovic, Takumi Kobayashi, Nobuyuki Otsu