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» Supervised image segmentation via ground truth decomposition
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ICIP
2008
IEEE
14 years 6 months ago
Supervised image segmentation via ground truth decomposition
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
Ilya Levner, Russell Greiner, Hong Zhang
CIVR
2006
Springer
113views Image Analysis» more  CIVR 2006»
13 years 8 months ago
Eliciting Perceptual Ground Truth for Image Segmentation
In this paper, we investigate human visual perception and establish a body of ground truth data elicited from human visual studies. We aim to build on the formative work of Ren, E...
Victoria J. Hodge, Garry Hollier, John P. Eakins, ...
MICCAI
2002
Springer
14 years 5 months ago
Medical Image Synthesis via Monte Carlo Simulation
A large number of test images and their "ground truth" segmentations are needed for performance characterization of the many image segmentation methods. In this work we ...
James Z. Chen, Stephen M. Pizer, Edward L. Chaney,...
ICDAR
2011
IEEE
12 years 3 months ago
A Method of Evaluating Table Segmentation Results Based on a Table Image Ground Truther
—We propose a novel method to evaluate table segmentation results based on a table image ground truther. In the ground-truthing process, we first extract connected components fr...
Yanhui Liang, Yizhou Wang, Eric Saund
CVPR
2008
IEEE
14 years 6 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum