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DAGM
1998
Springer
15 years 3 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
ICIP
1994
IEEE
15 years 2 months ago
Active Region Models for Segmenting Medical Images
This paper describes a new region-growing method for segmenting medical images. The method uses a closed snake driven by a pressure force that is a function of the statistical cha...
Jim Ivins, John Porrill
APIN
2007
172views more  APIN 2007»
14 years 11 months ago
A genetically optimized level set approach to segmentation of thyroid ultrasound images
This paper presents a novel framework for thyroid ultrasound image segmentation that aims to accurately delineate thyroid nodules. This framework, named GA-VBAC incorporates a leve...
Dimitrios K. Iakovidis, Michalis A. Savelonas, Sta...
ICCV
2009
IEEE
16 years 4 months ago
Image Segmentation with A Bounding Box Prior
User-provided object bounding box is a simple and popular interaction paradigm considered by many existing interactive image segmentation frameworks. However, these frameworks t...
Victor Lempitsky, Pushmeet Kohli, Carsten Rother, ...
CVPR
2007
IEEE
16 years 1 months ago
A Graph Cut Approach to Image Segmentation in Tensor Space
This paper proposes a novel method to apply the standard graph cut technique to segmenting multimodal tensor valued images. The Riemannian nature of the tensor space is explicitly...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi