Biomedical Engineering Reference
In-Depth Information
7. Mikula K, Sevcovic D. 2001. Evolution of plane curves driven by a nonlinear function of
curvature and anisotropy. SIAM J Numer Anal 61 :1473-1501.
8. Mikula K, Sevcovic D. 2004. Computational and qualitative aspects of evolution of curves
driven by curvature and external force. Comput Visualiz Sci , 6 (4):211-225.
9. Mikula K, Sevcovic D. 2004. A direct method for solving an anisotropic mean curvature flow
of planar curve with an external force. Math Methods Appl Sci 27 (13):1545-1565.
10. K. Mikula, Sevcovic D. 2006. Evolution of curves on a surface driven by a geodesic curvature
and external force. Applic Anal 85 (4):345-362.
11. Osher S, Sethian JA. 1988. Front propagating with curvature dependent speed: algorithms
based on the Hamilton-Jacobi formulation. J Comput Phys 79 :12-49.
12. Sethian JA. 1990. Numerical algorithm for propagating interfaces: Hamilton-Jacobi equations
and conservation laws. J Diff Geom 31 :131-161.
13. Sethian JA. 1999. Level set methods and fast marching methods. In Evolving interfaces in
computational geometry, fluid mechanics, computer vision, and material science . Cambridge:
Cambridge UP.
14. Osher S, FedkiwR. 2003. Level set methods and dynamic implicit surfaces . NewYork: Springer.
15. Sapiro G. 2001. Geometric partial differential equations and image analysis . Cambridge: Cam-
bridge UP.
16. Handlovicova A, Mikula K, Sgallari F. 2003. Semi-implicit complementary volume scheme
for solving level set-like equations in image processing and curve evolution. Numer Math
93 :675-695.
17. Frolkovic P, Mikula K. 2003. Flux-based level set method: a finite volume method for evolv-
ing interfaces . Preprint IWR/SFB 2003-15, Interdisciplinary Center for Scientific Computing,
University of Heidelberg.
18. Frolkovic P, Mikula K. 2005. High resolution flux-based level set method . Preprint 2005-
12, Department of Mathematics and Descriptive Geometry, Slovak University of Technology,
Bratislava.
19. ยด
processing. Numer Math 66 :1-31.
20. Malladi R, Sethian JA, Vemuri B. 1995. Shape modeling with front propagation: a level set
approach. IEEE Trans Pattern Anal Machine Intell 17 :158-174.
21. Perona P, Malik J. 1990. Scale space and edge detection using anisotropic diffusion. IEEE Trans
Pattern Anal Machine Intell 12 (7):629-639.
22. Catte F, Lions PL, Morel JM, Coll T. 1992. Image selective smoothing and edge detection by
nonlinear diffusion. SIAM J Numer Anal , 29 :182-193.
23. Weickert J, Romeny BMtH, Viergever MA. 1998. Efficient and reliable schemes for nonlinear
diffusion filtering. IEEE Trans Image Processing 7 :398-410.
24. Kacur J,MikulaK. 1995. Solution of nonlinear diffusion in image smoothing and edge detection.
Appl Numer Math 17 :47-59.
25. Kacur J, Mikula K. 2001. Slow and fast diffusion effects in image processing. Comput Visualiz
Sci 3 (4):185-195.
26. Mikula K, Ramarosy N. 2001. Semi-implicit finite volume scheme for solving nonlinear dif-
fusion equations in image processing. Numer Math 89 (3):561-590.
27. Mikula K, Sgallari F. 2003. Semi-implicit finite volume scheme for image processing in 3D
cylindrical geometry. J Comput Appl Math 161 (1):119-132.
28. Mikula K. 2002. Image processing with partial diferential equations. In Modern methods in
scientific computing and applications , pp. 283-321. Eds A Bourlioux, MJ Gander. NATO
Science Ser. II, Vol. 75. Dodrecht: Kluwer Academic.
29. Kriva Z, Mikula K. 2002. An adaptive finite volume scheme for solving nonlinear diffusion
equations in image processing. J Vis Commun Image Represent 13 :22-35.
30. E. Bansch, Mikula K. 1997. A coarsening finite element strategy in image selective smoothing.
Comput Visualiz Sci 1 (1):53-61.
Caselles V, Catte F,
Coll T, Dibos F. 1993. A geometric model for active contours in image
Search WWH ::




Custom Search