310 search results - page 30 / 62 » Discrete Mixture Models for Unsupervised Image Segmentation |
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, we present a variational Bayes (VB) approach for image segmentation. First, image is modeled by a mixture model, and then with the techniques of factor analyzer, th...
MICCAI
2005
Springer
14 years 8 months ago
2005
Springer
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...
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We address the problem of segmenting multiple similar objects by optimizing a Chan-Vese-like [1] functional with respect to a mixture of level set functions. We solve the variatio...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
To compare spatial patterns of gene expression, one must analyze a large number of images as current methods are only able to measure a small number of genes at a time. Bringing i...