0410846 20240103182243.420060210235959.9 3-540-44011-9 Berlin Springer 2002 8 s. Lecture Notes in Computer Science. 2396 842-849CaelliT.AminA.DuinR. P. W. fractography Markov random fields texture cav_un_auth*0101093 Haindl Michal UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0081700 Lauschmann H. CZ 09K GA106/00/1715 GA ČR cav_un_auth*0005263 GA102/00/0030 GA ČR cav_un_auth*0004016 CEZ:AV0Z1075907 A novel model-based approach for estimation of the velocity of crack growth from microfractographical images is proposed. These images are represented by a Gaussian Markov random field model and the crack growth rate is modelled by a linear regression model in the Gaussian-Markov parameter space. cav_un_auth*0212926 Joint IAPR International Workshops SSPR 2002 and SPR 2002 Windsor CA 06.08.2002-09.08.2002 BD RO http://hdl.handle.net/11104/0130933 UTIA-B 20020060 2002 2002 Berlin Springer 3-540-44011-9 Structural, Syntactic, and Statistical Pattern Recognition. Proceedings 842 849 Caelli T. 340 Amin A. 340 Duin R. P. W. 340