1135 search results - page 60 / 227 » A probabilistic framework for image segmentation |
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
IWCIA
2009
Springer
14 years 2 months ago
2009
Springer
The Image Foresting Transform (IFT) is a framework for image partitioning, commonly used for interactive segmentation. Given an image where a subset of the image elements (seed-poi...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
We derive an asymptotic Newton algorithm for Quasi Maximum Likelihood estimation of the ICA mixture model, using the ordinary gradient and Hessian. The probabilistic mixture frame...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
In this paper, we introduce a novel approach for simultaneous restoration and segmentation of blurred, noisy images by approaching a variant of the Mumford-Shah functional from a ...