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» Eliciting Perceptual Ground Truth for Image Segmentation
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CMIG
2010
125views more  CMIG 2010»
13 years 3 months ago
VascuSynth: Simulating vascular trees for generating volumetric image data with ground-truth segmentation and tree analysis
Automated segmentation and analysis of tree-like structures from 3D medical images are important for many medical applications, such as those dealing with blood vasculature or lun...
Ghassan Hamarneh, Preet Jassi
CVPR
2010
IEEE
14 years 1 months ago
Object Recognition as Ranking Holistic Figure-Ground Hypotheses
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up,...
Fuxin Li, JoãCarreira, Cristian Sminchisescu
MICCAI
2005
Springer
14 years 9 months ago
Comparison of Vessel Segmentations Using STAPLE
We propose a novel method for the validation of vascular segmentations. Our technique combines morphological operators and the STAPLE algorithm to obtain ground truth of centerline...
Julien Jomier, Vincent LeDigarcher, Stephen R. Ayl...
CVPR
2009
IEEE
15 years 3 months ago
A Perceptually Motivated Online Benchmark for Image Matting
The availability of quantitative online benchmarks for low-level vision tasks such as stereo and optical flow has led to significant progress in the respective fields. This paper...
Christoph Rhemann (Vienna University of Technology...
CVPR
2005
IEEE
14 years 10 months ago
Quantitative Evaluation of a Novel Image Segmentation Algorithm
We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley Segment...
Francisco J. Estrada, Allan D. Jepson