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» Level Set Based Image Segmentation with Multiple Regions
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ICCV
2007
IEEE
16 years 3 months ago
Multi-Object Tracking Through Clutter Using Graph Cuts
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
ARTCOM
2009
IEEE
14 years 11 months ago
Adaptive Encoding Algorithm for Multispectral Images
A new adaptive multispectral image compression technique based on the regions identified is proposed. The algorithm is adaptive in the sense that according to the data type class ...
Deepa Sankarapandi
SIBGRAPI
2006
IEEE
15 years 8 months ago
Actively Illuminated Objects using Graph-Cuts
This paper addresses the problem of foreground extraction using active illumination and graph-cut optimization. Our approach starts by detecting image regions that are likely to b...
Asla Medeiros Sá, Marcelo Bernardes Vieira,...
ISBI
2006
IEEE
16 years 2 months ago
A diffusion tensor imaging tractography algorithm based on Navier-Stokes fluid mechanics
We introduce a method for estimating regional connectivity in diffusion tensor magnetic resonance imaging (DT-MRI) based on a fluid mechanics model. We customize the Navier-Stokes...
Nathan S. Hageman, David W. Shattuck, Katherine Na...
IADIS
2008
15 years 3 months ago
Subspace Orthogonal Projection for Texture Segmentation with Wavelet Frames
We propose a new supervised texture segmentation and classification technique based on combining features extracted from the discrete wavelet frames of an image (specifically, the...
Mahmoud K. Quweider