0501794 20240111141015.420190221235959.9 85064603388 8 s. C cav_un_epca*0501793978-989-758-351-32184-4313683-690SetúbalSCITEPRESS – Science and Technology Publications, Lda.2019 Effect Coating Pigment Discrimination Cloudiness Non-uniformity cav_un_auth*0101086 60 Filip Jiří UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition K Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0282273 10 Vávra Radomír UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0330886 20 Maile F. J. DE cav_un_auth*0372630 10 Eibon B. US PDF http://library.utia.cas.cz/separaty/2019/RO/filip-0501794.pdf 1MB cav_un_auth*0347019 GA17-18407S GA ČR Various industries are striving for novel, more reliable but still efficient approaches to coatings characterization. Majority of industrial applications use portable instruments for characterization of effect coatings. They typically capture a limited set of in-plane geometries and have limited ability to reliably characterize gonio-apparent behavior typical for such coatings. The instruments rely mostly on color and reflectance characteristics without using a texture information across the coating plane. In this paper, we propose image-based method that counts numbers of effective pigments and their active area. First, we captured appearance of eight effect coatings featuring four different pigment materials, in in-plane and out-of-plane geometries. We used a gonioreflectometer for fixed viewing and varying illumination angles. Our analysis has shown that the proposed method is able to clearly distinguish pigment materials and coating applications in both in-plane and out-of-plane geometries. Finally, we show an application of our method to analysis of spatial non-uniformity, i.e. cloudiness or mottling, across a coated panel. cav_un_auth*0372631 8th International Conference on Pattern Recognition Applications and Methods 20190219 20190221 Praha CZ BD 20000 20500 20506 2020 4 PR RVO:67985556 http://hdl.handle.net/11104/0294168 cav_un_auth*0357892 Schlenk Metallic Pigments GmbH SCHLENK DE cav_un_auth*0372632 PPG Industries US S 2019 85064603388 SCOPUS PUBMED WOS PDF 1MB cav_un_epca*0501793 Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019) 978-989-758-351-3 2184-4313 683 690 Setúbal SCITEPRESS – Science and Technology Publications, Lda. 2019