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IVC
2006
82views more  IVC 2006»
13 years 7 months ago
Nonlinear optimisation method for image segmentation and noise reduction using geometrical intrinsic properties
This paper considers the optimisation of a nonlinear functional for image segmentation and noise reduction. Equations optimising this functional are derived and employed to detect...
Sasan Mahmoodi, Bayan S. Sharif
INFORMATICALT
2011
147views more  INFORMATICALT 2011»
13 years 2 months ago
On Comparison of the Estimators of the Hurst Index of the Solutions of Stochastic Differential Equations Driven by the Fractiona
This paper presents a study of the Hurst index estimation in the case of fractional Ornstein–Uhlenbeck and geometric Brownian motion models. The performance of the estimators is ...
Kestutis Kubilius, Dmitrij Melichov
ICIP
2002
IEEE
14 years 9 months ago
Image segmentation using curve evolution and flow fields
An image segmentation scheme that utilizes image-based flow fields in a curve evolution framework is presented. Geometric curve evolution methods require an edge function and a ve...
Baris Sumengen, B. S. Manjunath, Charles S. Kenney
IJCV
2006
164views more  IJCV 2006»
13 years 7 months ago
Stochastic Motion and the Level Set Method in Computer Vision: Stochastic Active Contours
Based on recent work on Stochastic Partial Differential Equations (SPDEs), this paper presents a simple and well-founded method to implement the stochastic evolution of a curve. F...
Olivier Juan, Renaud Keriven, Gheorghe Postelnicu
VISUALIZATION
2000
IEEE
14 years 1 days ago
Anisotropic geometric diffusion in surface processing
A new multiscale method in surface processing is presented here which combines the image processing methodology based on nonlinear diffusion equations and the theory of geometric ...
Ulrich Clarenz, Udo Diewald, Martin Rumpf