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» A probabilistic framework for image segmentation
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ECCV
2004
Springer
14 years 9 months ago
Variational Pairing of Image Segmentation and Blind Restoration
Abstract. Segmentation and blind restoration are both classical problems, that are known to be difficult and have attracted major research efforts. This paper shows that the two pr...
Leah Bar, Nir A. Sochen, Nahum Kiryati
ISMM
2011
Springer
12 years 10 months ago
Incremental Algorithm for Hierarchical Minimum Spanning Forests and Saliency of Watershed Cuts
We study hierarchical segmentations that are optimal in the sense of minimal spanning forests of the original image. We introduce a region-merging operation called uprooting, and w...
Jean Cousty, Laurent Najman
CVPR
2007
IEEE
14 years 10 months ago
Unsupervised Segmentation of Objects using Efficient Learning
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...
EMMCVPR
2003
Springer
14 years 1 months ago
Path Variation and Image Segmentation
We study a notion of variation for real valued two variable functions called the path variation and we discuss its application as a low-level image segmentation method. For this pu...
Pablo Andrés Arbeláez, Laurent D. Co...
CVPR
2007
IEEE
14 years 10 months ago
A Graph Cut Approach to Image Segmentation in Tensor Space
This paper proposes a novel method to apply the standard graph cut technique to segmenting multimodal tensor valued images. The Riemannian nature of the tensor space is explicitly...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi