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» Image Smoothing and Segmentation by Graph Regularization
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ICMCS
2008
IEEE
165views Multimedia» more  ICMCS 2008»
14 years 1 months ago
Graph cuts by using local texture features of wavelet coefficient for image segmentation
This paper proposes an approach to image segmentation using Iterated Graph Cuts based on local texture features of wavelet coefficient. Using Multiresolution Analysis based on Ha...
Keita Fukuda, Tetsuya Takiguchi, Yasuo Ariki
ECCV
2002
Springer
14 years 9 months ago
Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization
Abstract. The propose of this paper is to introduce a new regularization formulation for inverse problems in computer vision and image processing that allows one to reconstruct sec...
José L. Marroquín, Mariano Rivera
ICIP
2009
IEEE
14 years 8 months ago
Discrete Curvature Calculation For Fast Level Set Segmentation
Fast level set methods replace continuous PDEs by a discrete formulation, improving the execution times. The regularization in fast level set methods was so far handled indirectly...
JMLR
2008
139views more  JMLR 2008»
13 years 7 months ago
Regularization on Graphs with Function-adapted Diffusion Processes
Harmonic analysis and diffusion on discrete data has been shown to lead to state-of-theart algorithms for machine learning tasks, especially in the context of semi-supervised and ...
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman
TIP
2008
135views more  TIP 2008»
13 years 7 months ago
Nonlinear Regularized Reaction-Diffusion Filters for Denoising of Images With Textures
Denoising is always a challenging problem in natural imaging and geophysical data processing. In this paper we consider the denoising of texture images using a nonlinear reaction-...
Gerlind Plonka, Jianwei Ma