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SIAMIS
2010
156views more  SIAMIS 2010»
14 years 4 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...
ECCV
2006
Springer
15 years 1 months ago
SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...
ICASSP
2011
IEEE
14 years 1 months ago
Hardware acceleration of iterative image reconstruction for X-ray computed tomography
X-ray computed tomography (CT) images could be improved using iterative image reconstruction if the 3D conebeam forward- and back-projection computations can be accelerated signif...
Jung Kuk Kim, Zhengya Zhang, Jeffrey A. Fessler
PAMI
2010
396views more  PAMI 2010»
14 years 8 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
TIP
2008
208views more  TIP 2008»
14 years 9 months ago
Vision Processing for Realtime 3-D Data Acquisition Based on Coded Structured Light
Structured light vision systems have been successfully used for accurate measurement of 3-D surfaces in computer vision. However, their applications are mainly limited to scanning ...
S. Y. Chen, Y. F. Li, Jianwei Zhang