title: Statistical characterization of TEM images of silica-filled rubber.
abstract: Transmission electron microscopy is used to study the micro-dispersion of silica fillers within the polymer matrix of rubber. The resulting grey-value images are interpreted as realizations of random fields and are characterized by means of variograms. The so-called Cauchy class is a suitable model for this purpose. Statistical analysis shows that different filler dispersion properties are reflected in different variogram parameters. As a case study, the random field approach is demonstrated for four exemplary rubber compounds.
authors.affiliation: Institut für Stochastik, TU Bergakademie Freiberg, Germany.
authors.forename: A
authors.initials: A
authors.lastname: Tscheschel
authors.forename: J
authors.initials: J
authors.lastname: Lacayo
authors.forename: D
authors.initials: D
authors.lastname: Stoyan
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D046529:Microscopy, Electron, Transmission; D012408:Rubber / Q000032:analysis*; D012822:Silicon Dioxide / Q000032:analysis*
chemical_list: D012822:Silicon Dioxide; D012408:Rubber