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» A High Level Merging Tool in Image Segmentation Applications
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CVPR
2000
IEEE
14 years 29 days ago
Perceptual Grouping and Segmentation by Stochastic Clustering
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
Yoram Gdalyahu, Noam Shental, Daphna Weinshall
TITB
2002
172views more  TITB 2002»
13 years 8 months ago
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
The class of geometric deformable models, also known as level sets, has brought tremendous impact to medical imagery due to its capability of topology preservation and fast shape r...
Jasjit S. Suri, Kecheng Liu, Sameer Singh, Swamy L...
TRECVID
2007
13 years 9 months ago
Eurecom at TRECVid 2007: Extraction of High-level Features
In this paper we describe our experiments for the high level features extraction task of TRECVid 2007. Our approach is different than previous submissions in that we have impleme...
Rachid Benmokhtar, Eric Galmar, Benoit Huet
ICIP
2004
IEEE
14 years 10 months ago
Water video analysis
Many image processing and computer vision applications have difficulty dealing with a nonstatic background such as water waves, but this particular dynamic scene actually contains...
Lisa Spencer, Mubarak Shah
BMCBI
2005
302views more  BMCBI 2005»
13 years 8 months ago
CGHPRO - A comprehensive data analysis tool for array CGH
Background: Array CGH (Comparative Genomic Hybridisation) is a molecular cytogenetic technique for the genome wide detection of chromosomal imbalances. It is based on the cohybrid...
Wei Chen, Fikret Erdogan, H.-Hilger Ropers, Steffe...