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TIP
2008
125views more  TIP 2008»
13 years 5 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte
ICPR
2004
IEEE
14 years 6 months ago
Image Segmentation Through Energy Minimization Based Subspace Fusion
In this paper we present an image segmentation technique that fuses contributions from multiple feature subspaces using an energy minimization approach. For each subspace, we comp...
Jason J. Corso, Maneesh Dewan, Gregory D. Hager
MICCAI
2010
Springer
13 years 3 months ago
Nonlocal Patch-Based Label Fusion for Hippocampus Segmentation
Quantitative magnetic resonance analysis often requires accurate, robust and reliable automatic extraction of anatomical structures. Recently, template-warping methods incorporatin...
Pierrick Coupé, José V. Manjó...
MICCAI
2010
Springer
13 years 3 months ago
Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation
Automatic segmentation of the heart's left atrium offers great benefits for planning and outcome evaluation of atrial ablation procedures. However, the high anatomical variabi...
Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, R...
IJCV
2006
205views more  IJCV 2006»
13 years 5 months ago
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
We propose a variational framework for the integration of multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional wi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...