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» Level Set Based Image Segmentation with Multiple Regions
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ICIP
2007
IEEE
15 years 6 months ago
Using Dempster-Shafer Theory to Fuse Multiple Information Sources in Region-Based Segmentation
This paper presents a new method for segmentation of images into large regions that reflect the real world objects present in a scene. It explores the feasibility of utilizing sp...
Tomasz Adamek, Noel E. O'Connor
IJCV
2006
145views more  IJCV 2006»
14 years 11 months ago
Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views
We present a novel Object Recognition approach based on affine invariant regions. It actively counters the problems related to the limited repeatability of the region detectors, an...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
MICCAI
2009
Springer
16 years 25 days ago
Robust Atlas-Based Brain Segmentation Using Multi-structure Confidence-Weighted Registration
Abstract. We present a robust and accurate atlas-based brain segmentation method which uses multiple initial structure segmentations to simultaneously drive the image registration ...
Ali R. Khan, Moo K. Chung, Mirza Faisal Beg
ICCV
2003
IEEE
15 years 5 months ago
Natural Image Statistics for Natural Image Segmentation
Building on recent progress in modeling filter response statistics of natural images we integrate a statistical model into a variational framework for image segmentation. Incorpo...
Matthias Heiler, Christoph Schnörr
125
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ECCV
2004
Springer
16 years 1 months ago
Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation
Abstract. We propose a variational framework for the integration multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...