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» Nonparametric Bayesian Image Segmentation
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ICIP
2003
IEEE
16 years 4 months ago
Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
X. Song, G. Fan
153
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CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
15 years 4 months ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
ICPR
2002
IEEE
16 years 4 months ago
Bayesian Rendering with Non-Parametric Multiscale Prior Model
This paper investigates the use of the Bayesian inference for devising an example-based rendering procedure. As prior model of this Bayesian inference, we exploit the multiscale n...
Max Mignotte
ECCV
2008
Springer
16 years 4 months ago
What Is a Good Image Segment? A Unified Approach to Segment Extraction
Abstract. There is a huge diversity of definitions of "visually meaningful" image segments, ranging from simple uniformly colored segments, textured segments, through sym...
Shai Bagon, Oren Boiman, Michal Irani
MICCAI
2010
Springer
15 years 1 months ago
Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...
Moti Freiman, A. Kronman, S. J. Esses, Leo Joskowi...