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» A Unified Tensor Level Set for Image Segmentation
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CVPR
2005
IEEE
15 years 3 months ago
Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...
IPMI
1999
Springer
15 years 10 months ago
Co-dimension 2 Geodesic Active Contours for MRA Segmentation
Abstract. Automatic and semi-automatic magnetic resonance angiography (MRA) segmentation techniques can potentially save radiologists large amounts of time required for manual segm...
Liana M. Lorigo, Olivier D. Faugeras, W. Eric L. G...

Source Code
4838views
16 years 8 months ago
Chan-Vese Image Segmentation
A C++ implementation of Chan-Vese paper "Active Contours Without Edges" image segmentation. The program has command line interface.
Pascal Getreuer

Publication
794views
16 years 6 months ago
A Fast Implementation of The Level Set Method Without Solving Partial Differential Equations
"The level set method is popular in the numerical implementation of curve evolution, but its high computational cost is a bottleneck for real-time applications. In this report...
Yonggang Shi, William Clem Karl
MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
15 years 3 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...