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» A probabilistic framework for image segmentation
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DAGM
2004
Springer
14 years 1 months ago
Level Set Based Image Segmentation with Multiple Regions
We address the difficulty of image segmentation methods based on the popular level set framework to handle an arbitrary number of regions. While in the literature some level set t...
Thomas Brox, Joachim Weickert
TIP
1998
162views more  TIP 1998»
13 years 7 months ago
Variational image segmentation using boundary functions
Abstract—A general variational framework for image approximation and segmentation is introduced. By using a continuous “line-process” to represent edge boundaries, it is poss...
Gary A. Hewer, Charles S. Kenney, B. S. Manjunath
AVSS
2005
IEEE
14 years 1 months ago
Scene modelling using an adaptive mixture of Gaussians in colour and space
We present an integrated pixel segmentation and region tracking algorithm, designed for indoor environments. Visual monitoring systems often use frame differencing techniques to i...
Patrick Dickinson, Andrew Hunter
CVPR
2004
IEEE
14 years 10 months ago
Probabilistic Parameter-Free Motion Detection
We propose an original probabilistic parameter-free method for the detection of independently moving objects in an image sequence. We apply a probabilistic perceptual principle, t...
Frédéric Cao, Patrick Bouthemy, Thom...
ICDAR
2009
IEEE
14 years 2 months ago
Robust Color Image Enhancement of Digitized Books
We present a spatially variant framework for correcting uneven illumination and color cast, problems commonly associated with digitized books. The core of our method is a color im...
Jian Fan