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CVPR
2005
IEEE
14 years 4 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
14 years 11 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...
TITB
2008
109views more  TITB 2008»
13 years 10 months ago
Automatic Segmentation of High-Throughput RNAi Fluorescent Cellular Images
High throughput genome-wide RNAi screening is emerging as an essential tool to assist biologists in understanding complex cellular processes. The large number of images produced in...
Pingkun Yan, Xiaobo Zhou, Mubarak Shah, Stephen T....

Source Code
4838views
15 years 10 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
ISM
2006
IEEE
277views Multimedia» more  ISM 2006»
13 years 11 months ago
Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images
Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad interest in image segmentation. These implementations, however, have initialization p...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...