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» Image segmentation in a kernel-induced space
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ICCV
2009
IEEE
13 years 5 months ago
Associative hierarchical CRFs for object class image segmentation
Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...
Lubor Ladicky, Christopher Russell, Pushmeet Kohli...
MICCAI
2004
Springer
14 years 9 months ago
Learning Coupled Prior Shape and Appearance Models for Segmentation
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
Xiaolei Huang, Zhiguo Li, Dimitris N. Metaxas
CVPR
2003
IEEE
14 years 10 months ago
Illumination Chromaticity Estimation using Inverse-Intensity Chromaticity Space
Existing color constancy methods cannot handle both uniform colored surfaces and highly textured surfaces in a single integrated framework. Statistics-based methods require many s...
Robby T. Tan, Ko Nishino, Katsushi Ikeuchi
SCALESPACE
1997
Springer
14 years 5 days ago
From High Energy Physics to Low Level Vision
A geometric framework for image scale space, enhancement, and segmentation is presented. We consider intensity images as surfaces in the (x I) space. The image is thereby a 2D surf...
Ron Kimmel, Nir A. Sochen, Ravi Malladi
IPMI
2007
Springer
14 years 8 months ago
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis
This paper presents a novel statistical fuzzy-segmentation method for diffusion tensor (DT) images and magnetic resonance (MR) images. Typical fuzzy-segmentation schemes, e.g. thos...
Suyash P. Awate, James C. Gee