132 search results - page 10 / 27 » Unsupervised Bayesian image segmentation using wavelet-domai... |
CAIP
2001
Springer
14 years 5 days 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...
PAMI
2002
13 years 7 months ago
2002
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
SIBGRAPI
2008
IEEE
14 years 2 months ago
2008
IEEE
This work introduces a Hidden Markov Model (HMM) based technique to classify agricultural crops. The method recognizes different crops by analyzing their spectral profiles over a ...
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...