Size distributions in stochastic geometry
We indicate how granulometries may be useful in the analysis of random sets. We define a suitable size distribution function as a tool in exploratory data analysis and give a new Hanisch-style estimator for it. New Markov random sets are constructed which favour certain sizes above others. Applications and examples on real and simulated data sets are included.
|Point processes (msc 60G55), Spatial processes (msc 62M30), Image processing (msc 68U10)|
|CWI. Probability, Networks and Algorithms [PNA]|
|Organisation||Signals and Images|
van Lieshout, M.N.M. (1997). Size distributions in stochastic geometry. CWI. Probability, Networks and Algorithms [PNA]. CWI.