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» Shape-Based Level Set Method for Image Segmentation
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CVPR
2007
IEEE
15 years 12 months ago
ROI-SEG: Unsupervised Color Segmentation by Combining Differently Focused Sub Results
This paper presents a novel unsupervised color segmentation scheme named ROI-SEG, which is based on the main idea of combining a set of different sub-segmentation results. We prop...
Michael Donoser, Horst Bischof
CARS
2001
14 years 11 months ago
Rendering and interaction in co-operative 3-D image analysis
Most interactive segmentation methods are defined at a 2-d level requiring sometimes extensive interaction when the object of interest is difficult to be outlined by simple means ...
Klaus D. Tönnies, Manfred Hinz, Regina Pohle
DAGM
1998
Springer
15 years 2 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ICCV
2007
IEEE
15 years 1 months ago
USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images
Image smoothing, segmentation and registration are three key processing steps in many computer vision applications. In this paper, we present a novel framework for achieving all t...
Nicholas A. Lord, Jeffrey Ho, Baba C. Vemuri
MICCAI
1998
Springer
15 years 2 months ago
Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology
Abstract. In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysi...
Jean-Francois Mangin, Olivier Coulon, Vincent Frou...