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» Steering in Scale Space to Optimally Detect Image Structures
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CVPR
2009
IEEE
15 years 13 days ago
Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images
Recently, we proposed marginal space learning (MSL) as a generic approach for automatic detection of 3D anatom- ical structures in many medical imaging modalities. To accurately...
Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaoh...
PRL
2010
105views more  PRL 2010»
13 years 3 months ago
Quasi-random nonlinear scale space
A novel nonlinear scale space framework is proposed for the purpose of multiscale image representation. The scale space decomposition problem is formulated as a general Bayesian l...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...
SCALESPACE
2007
Springer
13 years 11 months ago
Combining Different Types of Scale Space Interest Points Using Canonical Sets
Scale space interest points capture important photometric and deep structure information of an image. The information content of such points can be made explicit using image recons...
Frans Kanters, Trip Denton, Ali Shokoufandeh, Luc ...
CVPR
2010
IEEE
14 years 1 months ago
Vessel Scale Selection using MRF Optimization
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
Hengameh Mirzaalian, Ghassan Hamarneh
ICIP
2007
IEEE
14 years 7 months ago
Multi-Scale Statistical Detection and Ballistic Imaging Through Turbid Media
We exploit recent advances in the physical design of fast optical systems which enable active imaging with "ballistic" light. In this modality, fast bursts of optical en...
Sina Farsiu, Peyman Milanfar