Literatur

AGL+03

A. Armstrong, A.G. Galli, G. Le Loch, F. Geffroy, and R. Escard, Plurigaussian simulations in geosciences, Springer, 2003

BM

K.K. Berthelsen and J. Møller, Spatial jump processes and perfect simulation

P.Bl

P.G. Blackwell, J. Møller, Bayesian analysis of deformed tessellation models, Advances in Aplied Probability 35, pp. 4-26, 2003

CD99

J.-P. Chilès and P. Delfiner, Geostatistics: modelling spatial uncertainty, Wiley, New York, 1999

B.Ch

B. Chalmond. Modeling and Inverse Problems in Image Analysis, Springer-Verlag, 2003

M.Ch

Ming-Hui Chen, Qi-Man Shao, Joseph G. Ibrahim. Monte Carlo Methods in Bayesian Computation, Springer-Verlag, 2000

M.FV

M. G. Forero-Vargas & L. J. Delgado-Rangel, Fuzzy Filters for Noise Removal, Fuzzy Filters for Image Processing, pp. 3-40, Springer, 2002

K/T

W. S. Kendall and E. Thönnes, Perfect simulation in stochastic geometry

H.Kw

H.K. Kwan, Fuzzy Filters for Noise Reduction in Images,Fuzzy Filters for Image Processing, pp. 3-40, Springer, 2002

Lan97

C. Lantuéjoul, Conditional simulation of object-based models, in D. Jeulin (ed.), Proceedings of the international symposium on advances in theory and apllications of random sets, pp 271-288, World Scientific, 1997

Lan02

C. Lantuéjoul, Geostatistical simulation: models and algorithms, Springer, 2002

vL00

M. N. M. van Lieshout, Markov point processes and their applications, Imperial College Press, 2000

J.M.a

J. Møller, Spatial Statistics and Computational Methods, Lecture Notes in Statistics 173, Springer, 2003

J.M.b

J. Møller, Notes on Markov Chain Monte Carlo, Lecture Notes, 1999

J.M.c

J. Møller, Ø. Skare, Coloured Voronoi tessellations for Bayesian image analysis and reservoir modelling, Statistical Modelling 1, pp. 213-232, 2001

G.Ni

G. Nicholls, Bayesian image analysis with Markov chain Monte Carlo and coloured triangulation models, Journal of the Royal Statistical Society B 60, pp. 643-659, 1998

A.Ok

A. Okabe et.al, Spatial Tessellations, Wiley. 1998

Pre77

C. Preston, Spatial birth-and-death processes, Bul. Sub. Statist. Just. 46, 371-391, 1977.

P./W.

J. Propp, D. Wilson, Coupling from the Past: a user`s guide, D. Aldous and J. Propp (eds), DIMACS Series in Discrete Mathematics and Theoretical Computer Science 41, pp. 181-192, 1998

E.Th

E. Thönnes, A primer on perfect simulation, Lecture Notes in Physics pp. 349-378, Springer, 2000

G.Wi

Gerhard Winkler. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods, Springer-Verlag, 2003

Eff00

N. Efford, Digital Image Processing, Addison-Wesley, 2000

Soi99

P. Soille, Morphological Image Analysis, Springer-Verlag, 1999

Bra02

H. Braxmeier, Data Structures for Images on Java, In: Proceedings of the Net.ObjectDays 2002

Ho00

W. Hoschek, Uniform, Versatile and Efficient Dense and Sparse Multi-Dimensional Arrays, Preprint, CERN, 2000

May03

J. Mayer, On Quality Improvement of Scientific Software: Design and Development of the GeoStoch Library and Graphical User Interface., Dissertation, Universität Ulm, 2003.

Jae02

B. Jähne, Digital Image Processing, Springer-Verlag, 2002

Ly99

D. A. Lyon, Image Processing in Java, Prentice Hall, 1999

Dan80

P. E. Danielsson, Euclidean distance mapping, Computer Graphics and Image Processing, 14, p. 227-248

O./M.

J. Ohser, F. Mücklich, Statistical Analysis of Microstructures in Material Science, John Wiley & Sons, 2000

Schoe

U. Schöning, Algorithmen - kurz gefasst, Spektrum Akademischer Verlag, 1998

Sto

D. Stoyan, W. S. Kendall, J. Mecke, Stochastic Geometry and its Applications, J. Wiley & Sons, 1995