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» A Variational Approach for Color Image Segmentation
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ICPR
2004
IEEE
15 years 10 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»
15 years 3 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
15 years 11 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
16 years 2 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
15 years 11 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