532 search results - page 6 / 107 » Unsupervised Texture Segmentation Using Feature Distribution... |
CAIP
2001
Springer
14 years 1 months ago
2001
Springer
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
ICPR
2000
IEEE
14 years 10 months ago
2000
IEEE
The segmentation of colored texture images is considered. Either luminance, color, and/or texture features could be used for segmentation. For luminance and color the classes are ...
TIP
2002
13 years 8 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...
VCIP
2003
13 years 10 months ago
2003
Texture is a fundamental feature which provides significant information for image classification, and is an important content used in content-based image retrieval (CBIR) system. ...
IBPRIA
2009
Springer
14 years 1 months ago
2009
Springer
A multi-spectral texture characterisation model is proposed, the Multi-spectral Local Differences Texem – MLDT, as an affordable approach to be used in multi-spectral images that...