0351644 20240103194338.020110228235959.9 000283766500002 78349256715 10.1002/asmb.864 6 s. cav_un_epca*02554481524-1904265 (2010)496-501Wiley image analysis statistical characteristics material tests cav_un_auth*0101227 Volf Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2011/SI/volf-statistical methods for automatic crack detection based on vibrothermography sequence-of-images data.pdf CEZ:AV0Z10750506 The paper of Li et al. is commented, mainly from the point of view of its original contribution to the methods of analysis of special image data. In particular, I concentrate on several questions connected with the proposed procedure and its results, the increase of signal-noise ratio and the recognition power of statistical characteristics of image. 2011 BB 1 http://hdl.handle.net/11104/0191353 MATHEMATICSINTERDISCIPLINARYAPPLICATIONS|OPERATIONSRESEARCHMANAGEMENTSCIENCE|STATISTICSPROBABILITY 0.797 0.024 6.7 0.00177 0.476 330 41 0.599 Q1 31.789 44.264 Q3 Q1 2010 78349256715 SCOPUS 000283766500002 WOS cav_un_epca*0255448 Applied Stochastic Models in Business and Industry 1524-1904 1526-4025 Roč. 26 č. 5 2010 496 501 Wiley