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» Eliciting Perceptual Ground Truth for Image Segmentation
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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, ...
CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
13 years 11 months ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin
ICIP
2008
IEEE
14 years 6 months ago
A ground truth for motion-based video-object segmentation
This paper describes the design procedure followed to generate a ground truth for the evaluation of motion-based algorithms for video-object segmentation. A thorough review and cl...
Fabricio Tiburzi, Jesús Bescós, Jos&...
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
MICCAI
2005
Springer
14 years 5 months ago
Synthetic Ground Truth for Validation of Brain Tumor MRI Segmentation
Validation and method of comparison for segmentation of magnetic resonance images (MRI) presenting pathology is a challenging task due to the lack of reliable ground truth. We prop...
Marcel Prastawa, Elizabeth Bullitt, Guido Gerig