417 search results - page 57 / 84 » Supervised Image Segmentation Using Markov Random Fields |
114
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WSCG
2004
15 years 1 months ago
2004
In this paper we describe a new method for improving the representation of textures in blends of multiple images based on a Markov Random Field (MRF) algorithm. We show that direc...
IDA
2009
Springer
15 years 4 months ago
2009
Springer
We investigate the problem of source separation in images in the Bayesian framework using the color channel dependencies. As a case in point we consider the source separation of co...
139
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TIP
2008
14 years 11 months ago
2008
Edge-based and region-based active contours are frequently used in image segmentation. While edges characterize small neighborhoods of pixels, region descriptors characterize entir...
ICIP
2000
IEEE
16 years 1 months ago
2000
IEEE
We propose a new wavelet-based method for im age denoising that applies the Bayesian framework, using prior knowledge about the spatial clustering of the wavelet coefficients. Loc...
122
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MICCAI
2010
Springer
14 years 9 months ago
2010
Springer
Abstract. Deformable surface models are often represented as triangular meshes in image segmentation applications. For a fast and easily regularized deformation onto the target obj...