310 search results - page 9 / 62 » Discrete Mixture Models for Unsupervised Image Segmentation |
BMVC
2000
13 years 9 months ago
2000
High-dimensional data, such as images represented as points in the space spanned by their pixel values, can often be described in a significantly smaller number of dimensions than...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
Gaussian mixture models have been widely used in image segmentation. However, such models are sensitive to outliers. In this paper, we consider a robust model for image segmentati...
TIP
2010
13 years 2 months ago
2010
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
In this paper, we describe an unsupervised segmentation method for contours which proves quite adapted for the images obtained by electronic acquisition. We present two statistica...
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...