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» A Variational Approach for Color Image Segmentation
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ICPR
2004
IEEE
14 years 5 months ago
A Variational Approach for Color Image Segmentation
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
Nikolaos Nasios, Adrian G. Bors
SYNASC
2006
IEEE
121views Algorithms» more  SYNASC 2006»
13 years 10 months ago
Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach
This paper is devoted to a new variational model for color texture modeling and color image decomposition into cartoon and texture. A given image f in the RGB space is decomposed ...
Luminita A. Vese, Stanley Osher
ICIP
2005
IEEE
14 years 6 months ago
Variational segmentation of color images
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
Nikolaos Nasios, Adrian G. Bors
ICCV
2009
IEEE
14 years 9 months ago
Saliency Driven Total Variation Segmentation
This paper introduces an unsupervised color segmentation method. The underlying idea is to segment the input image several times, each time focussing on a different salient part...
Michael Donoser, Martin Urschler, Martin Hirzer an...
ECCV
1998
Springer
14 years 6 months ago
Object Oriented Motion Estimation in Color Image Sequences
Abstract. This paper describes a color region-based approach to motion estimation in color image sequences. The system is intended for robotic and vehicle guidance applications whe...
Volker Rehrmann