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» Level Set Methods for Watershed Image Segmentation
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DAGM
1998
Springer
14 years 1 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
14 years 25 days 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
14 years 1 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...
CVPR
2010
IEEE
14 years 5 months ago
Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora
We propose a semi-supervised model which segments and annotates images using very few labeled images and a large unaligned text corpus to relate image regions to text labels. Give...
Richard Socher, Li Fei-Fei
ISBI
2007
IEEE
14 years 3 months ago
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours
This paper focuses on the detection and segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. The proposed method performs healthy tissue segmentation usin...
Oren Freifeld, Hayit Greenspan, Jacob Goldberger