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» Learning to Segment Document Images
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ISBI
2008
IEEE
14 years 10 months ago
Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
Noah Lee, Andrew F. Laine, Theodore R. Smith
MICCAI
2010
Springer
13 years 8 months ago
Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images
Segmentation of surgical devices in fluoroscopic images and in particular of guide-wires is a valuable element during surgery. In cardiac angioplasty, the problem is particularly ...
Nicolas Honnorat, Régis Vaillant, Nikos Par...
AADA
2011
12 years 9 months ago
Sparse Template-Based variational Image Segmentation
We introduce a variational approach to image segmentation based on sparse coverings of image domains by shape templates. The objective function combines a data term that achieves ...
Dirk Breitenreicher, Jan Lellmann, Christoph Schn&...
ICDAR
2011
IEEE
12 years 9 months ago
Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning
—Reading text from photographs is a challenging problem that has received a signicant amount of attention. Two key components of most systems are (i) text detection from images a...
Adam Coates, Blake Carpenter, Carl Case, Sanjeev S...
SIVP
2008
127views more  SIVP 2008»
13 years 9 months ago
Image indexing and retrieval using expressive fuzzy description logics
Abstract The effective management and exploitation of multimedia documents requires the extraction of the underlying semantics. Multimedia analysis algorithms can produce fairly ri...
Nikos Simou, Thanos Athanasiadis, Giorgos Stoilos,...