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» A Segmentation Algorithm for Noisy Images
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MICCAI
2005
Springer
14 years 5 months ago
Tissue Classification of Noisy MR Brain Images Using Constrained GMM
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
Amit Ruf, Hayit Greenspan, Jacob Goldberger
ISBI
2004
IEEE
14 years 5 months ago
Sequential vs Simultaneous Stochastic Segmentation
In past work, the Metropolis Algorithm along with Gibbs Priors was used to successfully segment two-dimensional noisy gray images into a small finite number of labels. In applicat...
Eilat Vardi-Gonen, Gabor T. Herman
CVPR
2001
IEEE
14 years 7 months ago
Alpha Channel Estimation in High Resolution Images and Image Sequences
For Motion Picture Special Effects, it is often necessary to take a source image of an actor, segment the actor from the unwanted background, and then composite over a new backgro...
P. Hillman, John M. Hannah, David S. Renshaw
ISBI
2007
IEEE
13 years 11 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
CAIP
1995
Springer
189views Image Analysis» more  CAIP 1995»
13 years 8 months ago
Spatial and Feature Space Clustering: Applications in Image Analysis
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
Jiri Matas, Josef Kittler