| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0501794 |
| utime |
20240111141015.4 |
| mtime |
20190221235959.9 |
| SCOPUS |
85064603388 |
| title
(primary) (eng) |
Image-based discrimination and spatial non-uniformity analysis of effect coatings |
| specification |
| page_count |
8 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0501793 |
| ISBN |
978-989-758-351-3 |
| ISSN |
2184-4313 |
| title
|
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019) |
| page_num |
683-690 |
| publisher |
| place |
Setúbal |
| name |
SCITEPRESS – Science and Technology Publications, Lda. |
| year |
2019 |
|
|
| keyword |
Effect Coating |
| keyword |
Pigment |
| keyword |
Discrimination |
| keyword |
Cloudiness |
| keyword |
Non-uniformity |
| author
(primary) |
| ARLID |
cav_un_auth*0101086 |
| share |
60 |
| name1 |
Filip |
| name2 |
Jiří |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| full_dept |
Department of Pattern Recognition |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0282273 |
| share |
10 |
| name1 |
Vávra |
| name2 |
Radomír |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0330886 |
| share |
20 |
| name1 |
Maile |
| name2 |
F. J. |
| country |
DE |
|
| author
|
| ARLID |
cav_un_auth*0372630 |
| share |
10 |
| name1 |
Eibon |
| name2 |
B. |
| country |
US |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0347019 |
| project_id |
GA17-18407S |
| agency |
GA ČR |
|
| abstract
(eng) |
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. |
| action |
| ARLID |
cav_un_auth*0372631 |
| name |
8th International Conference on Pattern Recognition Applications and Methods |
| dates |
20190219 |
| mrcbC20-s |
20190221 |
| place |
Praha |
| country |
CZ |
|
| RIV |
BD |
| FORD0 |
20000 |
| FORD1 |
20500 |
| FORD2 |
20506 |
| reportyear |
2020 |
| num_of_auth |
4 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0294168 |
| cooperation |
| ARLID |
cav_un_auth*0357892 |
| name |
Schlenk Metallic Pigments GmbH |
| institution |
SCHLENK |
| country |
DE |
|
| cooperation |
| ARLID |
cav_un_auth*0372632 |
| name |
PPG Industries |
| country |
US |
|
| confidential |
S |
| arlyear |
2019 |
| mrcbU14 |
85064603388 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU56 |
PDF 1MB |
| mrcbU63 |
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 |
|