A probabilistic approach for tracking fibers

Autor:	Johannes Kritzinger, Horst Bischof, Michael Donoser, Thomas Mauthner
Rok vydání:	2008
Předmět:	Computer science business.industry Probabilistic logic Image processing Iterative reconstruction Microstructure Computer graphics Robustness (computer science) Microscopy Computer vision Fiber Artificial intelligence Particle filter business Digitization
Zdroj:	ICPR
ISSN:	1051-4651
DOI:	10.1109/icpr.2008.4761560
Popis:	This paper describes a combination of an automated image acquisition method and a probabilistic tracking method for analysis of the 3D microstructure of a sheet of paper. A prototype which combines microtomy and light microscopy enables efficient and fully automated digitization of paper samples in high resolution. A particle filter based tracking method then allows to segment individual fibers from the obtained 3D data sets. The capability of accessing the properties of individual fibers enables analysis of e. g. 3D fiber mass distribution, 3D fiber orientation or fiber morphology. Experiments show that the method provides results consistent with the knowledge of paper experts.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0ecef866a78cb5169b9bd01081505c0c https://doi.org/10.1109/icpr.2008.4761560 Zobrazit plný text záznamu