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 10 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 7 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...