APA 6th Edition Sandak, J., Orlowski, K.A., Sandak, A., Chuchala, D. i Taube, P. (2020). On-Line Measurement of Wood Surface Smoothness. Drvna industrija, 71 (2), 193-200. https://doi.org/10.5552/drvind.2020.1970
MLA 8th Edition Sandak, Jakub, et al. "On-Line Measurement of Wood Surface Smoothness." Drvna industrija, vol. 71, br. 2, 2020, str. 193-200. https://doi.org/10.5552/drvind.2020.1970. Citirano 24.10.2021.
Chicago 17th Edition Sandak, Jakub, Kazimierz A. Orlowski, Anna Sandak, Daniel Chuchala i Piotr Taube. "On-Line Measurement of Wood Surface Smoothness." Drvna industrija 71, br. 2 (2020): 193-200. https://doi.org/10.5552/drvind.2020.1970
Harvard Sandak, J., et al. (2020). 'On-Line Measurement of Wood Surface Smoothness', Drvna industrija, 71(2), str. 193-200. https://doi.org/10.5552/drvind.2020.1970
Vancouver Sandak J, Orlowski KA, Sandak A, Chuchala D, Taube P. On-Line Measurement of Wood Surface Smoothness. Drvna industrija [Internet]. 2020 [pristupljeno 24.10.2021.];71(2):193-200. https://doi.org/10.5552/drvind.2020.1970
IEEE J. Sandak, K.A. Orlowski, A. Sandak, D. Chuchala i P. Taube, "On-Line Measurement of Wood Surface Smoothness", Drvna industrija, vol.71, br. 2, str. 193-200, 2020. [Online]. https://doi.org/10.5552/drvind.2020.1970
Sažetak The latest progress in the field of optics and microelectronics resulted in the development of new generation vision systems capable of scanning surface topography with very high sampling frequencies. The blue color of illuminating light as well as novel systems for controlling ultra-thin laser line thickness allows the measurement of the porous surface of wood with a triangulation method. Three alternative sensors were tested here in order to verify their suitability for the determination of surface topography in the industrial environment. The scanning head was installed at the exit zone of the four-side profiling moulder and was set to scrutinize the wood surface shape line-by-line, immediately after profiling. The sensor was also tested for automatic detection of surface defects appearing on the elements after sanding, wetting and painting with various finishing products. The set of pilot test results is presented, together with an original algorithm for real-time surface defects detection.