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» Constrained image segmentation from hierarchical boundaries
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ICPR
2002
IEEE
14 years 8 months ago
Usefulness of Boundary Sequences in Computing Shape Features for Arbitrary Shaped Regions
A boundary sequence is a good representation of arbitrary shaped regions, but not directly used in computing shape features such as area, centroid, orientation, and so forth. In t...
Seongok Kim, Sungyoung Kim, Jongmin Kim, Minhwan K...
ICIP
2009
IEEE
13 years 5 months ago
A contrario hierarchical image segmentation
Hierarchies are a powerful tool for image segmentation, they produce a multiscale representation which allows to design robust algorithms and can be stored in tree-like structures...
Juan Cardelino, Vicent Caselles, Marcelo Bertalm&i...
CVPR
2010
IEEE
14 years 4 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...
VISSYM
2007
13 years 10 months ago
Flexible And Topologically Localized Segmentation
One of the most common visualization tasks is the extraction of significant boundaries, often performed with isosurfaces or level set segmentation. Isosurface extraction is simple...
Gunnar Johansson, Ken Museth, Hamish Carr
CVPR
2008
IEEE
14 years 9 months ago
Hierarchical, learning-based automatic liver segmentation
In this paper we present a hierarchical, learning-based approach for automatic and accurate liver segmentation from 3D CT volumes. We target CT volumes that come from largely dive...
Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bog...