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IJCV
2011
163views more  IJCV 2011»
14 years 7 months ago
Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing
We examine the underlying structure of popular algorithms for variational methods used in image processing. We focus here on operator splittings and Bregman methods based on a uniļ...
Simon Setzer
144
Voted
CVPR
2009
IEEE
16 years 11 months ago
Efficient Scale Space Auto-Context for Image Segmentation and Labeling
The Conditional Random Fields (CRF) model, using patch-based classification bound with context information, has recently been widely adopted for image segmentation/ labeling. In...
Jiayan Jiang (UCLA), Zhuowen Tu (UCLA)
IBPRIA
2007
Springer
15 years 10 months ago
Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...
Sónia Pelizzari, José M. Bioucas-Dia...
ICPR
2010
IEEE
15 years 9 months ago
Road Sign Detection in Images: A Case Study
Road sign identification in images is an important issue, in particular for vehicle safety applications. It is usually tackled in three stages: detection, recognition and trackin...
Rachid Belaroussi, Philippe Foucher, Jean-Philippe...
138
Voted
TIP
2010
162views more  TIP 2010»
14 years 10 months ago
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty
Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...
A. K. Qin, David A. Clausi