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SCALESPACE
2009
Springer
13 years 11 months ago
Optimization of Divergences within the Exponential Family for Image Segmentation
In this work, we propose novel results for the optimization of divergences within the framework of region-based active contours. We focus on parametric statistical models where th...
François Lecellier, Stéphanie Jehan-...
ICASSP
2010
IEEE
13 years 5 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
MICCAI
2004
Springer
14 years 5 months ago
Implicit Active Shape Models for 3D Segmentation in MR Imaging
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...
Mikaël Rousson, Nikos Paragios, Rachid Derich...
CVPR
2000
IEEE
14 years 6 months ago
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
TIP
2010
205views more  TIP 2010»
12 years 11 months ago
Variational Region-Based Segmentation Using Multiple Texture Statistics
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean...