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» Modeling non-gaussian noise for robust image analysis
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IJCV
2008
188views more  IJCV 2008»
13 years 7 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
CVPR
2011
IEEE
13 years 1 months ago
A Two-Stage Reconstruction Approach for Seeing Through Water
Several attempts have been lately proposed to tackle the problem of recovering the original image of an underwater scene using a sequence distorted by water waves. The main draw...
Omar Oreifej, Guang Shu, Teresa Pace, and Mubarak ...
ICDAR
2007
IEEE
14 years 2 months ago
Quantile Linear Algorithm for Robust Binarization of Digitalized Letters
We describe a threshold-based local algorithm for image binarization. The main idea is to compute a transition energy using pixel value differences taken from a neighborhood aroun...
M. Ramírez, Ernesto Tapia, Marco Block, Ra&...
CVPR
2007
IEEE
14 years 9 months ago
Groupwise Shape Registration on Raw Edge Sequence via A Spatio-Temporal Generative Model
Groupwise shape registration of raw edge sequence is addressed. Automatically extracted edge maps are treated as noised input shape of the deformable object and their registration...
Huijun Di, Rao Naveed Iqbal, Guangyou Xu, Linmi Ta...
CAIP
2007
Springer
180views Image Analysis» more  CAIP 2007»
14 years 1 months ago
Automatic Segmentation of Femur Bones in Anterior-Posterior Pelvis X-Ray Images
Segmentation of femurs in Anterior-Posterior x-ray images is very important for fracture detection, computer-aided surgery and surgical planning. Existing methods do not perform we...
Feng Ding, Wee Kheng Leow, Tet Sen Howe