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» Level set image segmentation with Bayesian analysis
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ICASSP
2011
IEEE
14 years 2 months ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber
SAMT
2007
Springer
117views Multimedia» more  SAMT 2007»
15 years 5 months ago
A Region Thesaurus Approach for High-Level Concept Detection in the Natural Disaster Domain
Abstract. This paper presents an approach on high-level feature detection using a region thesaurus. MPEG-7 features are locally extracted from segmented regions and for a large set...
Evaggelos Spyrou, Yannis S. Avrithis
MICCAI
1998
Springer
15 years 3 months ago
Segmentation and Measurement of the Cortex from 3D MR Images
The cortex is the outermost thin layer of gray matter in the brain; geometric measurement of the cortex helps in understanding brain anatomy and function. In the quantitative analy...
Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz...
ICIP
2003
IEEE
16 years 20 days ago
Wavelet-based level set evolution for classification of textured images
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
Jean-François Aujol, Gilles Aubert, Laure B...
SCALESPACE
1999
Springer
15 years 3 months ago
Region Tracking on Surfaces Deforming via Level-Sets Methods
Since the work by Osher and Sethian on level-sets algorithms for numerical shape evolutions, this technique has been used for a large number of applications in numerous fields. In...
Marcelo Bertalmío, Guillermo Sapiro, Gregor...