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ICIP
2007
IEEE
16 years 8 months ago
New Features to Identify Computer Generated Images
Discrimination of computer generated images from real images is becoming more and more important. In this paper, we propose the use of new features to distinguish computer generat...
Ahmet Emir Dirik, Sevinc Bayram, Husrev T. Sencar,...
CVRMED
1995
Springer
15 years 10 months ago
A New Framework for Fusing Stereo Images with Volumetric Medical Images
Abstract. Some medical interventions require knowing the correspondence between an MRI/CT image and the actual position of the patient. Examples are in neurosurgery or radiotherapy...
Fabienne Betting, Jacques Feldmar, Nicholas Ayache...
ICCV
2011
IEEE
14 years 6 months ago
Image Segmentation by Figure-Ground Composition into Maximal Cliques
We propose a mid-level statistical model for image segmentation that composes multiple figure-ground hypotheses (FG) obtained by applying constraints at different locations and s...
Adrian Ion, Joao Carreira, Cristian Sminchisescu
ISBI
2002
IEEE
15 years 11 months ago
Bayesian clustering methods for morphological analysis of MR images
Determining the relationship between structure (i.e. morphology) and function is a fundamental problem in brain research. In this paper we present a new framework based on Bayesia...
Hanchuan Peng, Edward Herskovits, Christos Davatzi...
ECCV
2008
Springer
16 years 8 months ago
What Is a Good Image Segment? A Unified Approach to Segment Extraction
Abstract. There is a huge diversity of definitions of "visually meaningful" image segments, ranging from simple uniformly colored segments, textured segments, through sym...
Shai Bagon, Oren Boiman, Michal Irani