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» Supervised Texture Segmentation: A Comparative Study
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PAMI
2008
198views more  PAMI 2008»
13 years 10 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors
Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation....
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...
ECCV
2006
Springer
15 years 22 days ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with som...
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...
MICCAI
2008
Springer
15 years 21 hour ago
Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia
Abstract. Structural imaging investigations commonly apply a segmentation step followed by the extraction of feature data that can be used to compare or discriminate groups. We pre...
Paul Aljabar, Daniel Rueckert, William R. Crum
MIR
2004
ACM
113views Multimedia» more  MIR 2004»
14 years 4 months ago
Texture based medical image indexing and retrieval: application to cardiac imaging
Although digital images indexing and querying techniques have extensively been studied for the last years, few systems are dedicated to medical images today while the need for con...
Tristan Glatard, Johan Montagnat, Isabelle E. Magn...
CBMS
2005
IEEE
14 years 4 months ago
Texture-Based Image Retrieval for Computerized Tomography Databases
In this paper we propose a CBIR system for retrieval ofnormal anatomical regions present in Computed Tomography studies of the chest and abdomen. We implement and compare eight si...
Winnie Tsang, Andrew Corboy, Ken Lee, Daniela Stan...