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» Level set image segmentation with Bayesian analysis
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ICIP
2010
IEEE
14 years 9 months ago
Comparison of merging orders and pruning strategies for Binary Partition Tree in hyperspectral data
Hyperspectral imaging segmentation has been an active research area over the past few years. Despite the growing interest, some factors such as high spectrum variability are still...
Silvia Valero, Philippe Salembier, Jocelyn Chanuss...
DICTA
2007
15 years 19 days ago
Ridge Enhancement in Fingerprint Images Using Oriented Diffusion
The extraction of “Level 2” detail — ridge terminations, ridge bifurcations, bridges etc. — from digitised images of fingerprints requires an accurate segmentation of the...
Robert O. Hastings
MICCAI
2003
Springer
16 years 1 days ago
Statistical Shape Modeling of Unfolded Retinotopic Maps for a Visual Areas Probabilistic Atlas
Abstract. This paper proposes a statistical model of functional landmarks delimiting low level visual areas which are highly variable across individuals. Low level visual areas are...
Isabelle Corouge, Michel Dojat, Christian Barillot
ICRA
2002
IEEE
209views Robotics» more  ICRA 2002»
15 years 4 months ago
Probabilistic Shape and Appearance Model for Scene Segmentation
Effective image segmentation of a digitized scene into a set of recognizable objects requires the development of sophisticated scene analysis algorithms. Progress in this area has...
Shaun S. Gleason, Mongi A. Abidi, Hamed Sari-Sarra...
DGO
2003
147views Education» more  DGO 2003»
15 years 17 days ago
A Framework for the Representation of Geospatial Image Processing Operations
Research advances in geospatial automated image analysis tools and feature extraction algorithms have matured in recent times to levels of practical applicability. The consolidati...
Vijay Venkataraman, Peggy Agouris