49 search results - page 1 / 10 » Unsupervised image classification, segmentation, and enhance... |
TIP
2002
13 years 4 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
AIPR
2002
IEEE
13 years 9 months ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
NIPS
2004
13 years 6 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
ICIP
2003
IEEE
14 years 6 months ago
2003
IEEE
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...