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- 1.0546216 - ÚTIA 2022 RIV CH eng C - Conference Paper (international conference)
Havlíček, Michal - Haindl, Michal
Optimized Texture Spectral Similarity Criteria.
Advances in Computational Collective Intelligence. Cham: Springer International Publishing, 2021 - (Wojtkiewicz, K.; Treur, J.; Pimenidis, E.; Maleszka, M.), s. 644-655, č. článku 52. Communications in Computer and Information Science, 1463. ISBN 978-3-030-88113-9. ISSN 1865-0929.
[International Conference on Computational Collective Intelligence 2021 /13./. Kallithea, Rhodes (GR), 29.09.2021-01.10.2021]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Texture spectral similarity criterion * Bidirectional Texture Function * hyperspectral data * texture modeling
OECD category: Communication engineering and systems
http://library.utia.cas.cz/separaty/2021/RO/haindl-0546216.pdf
Permanent Link: http://hdl.handle.net/11104/0323757 - 2.0510483 - ÚTIA 2020 RIV CH eng C - Conference Paper (international conference)
Haindl, Michal - Havlíček, Michal
Mutual Information-Based Texture Spectral Similarity Criterion.
Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019). Cham: Springer, 2019 - (Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.), s. 302-314, č. článku 23. Lecture Notes in Computer Science, 11844. ISBN 978-3-030-33719-3. ISSN 0302-9743. E-ISSN 1611-3349.
[International Symposium on Visual Computing (ISVC 2019) /14./. Lake Tahoe (US), 07.10.2019-09.10.2019]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : spectral similarity criterion * Bidirectional Texture Functions * texture * mutual information
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2019/RO/haindl-0510483.pdf
Permanent Link: http://hdl.handle.net/11104/0302679 - 3.0508907 - ÚTIA 2020 RIV GB eng J - Journal Article
Havlíček, Michal - Haindl, Michal
Texture Spectral Similarity Criteria.
IET Image Processing. Roč. 13, č. 11 (2019), s. 1998-2007. ISSN 1751-9659. E-ISSN 1751-9667
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Spectral similarity criterion * bidirectional Texture Function * hyper-spectral data * texture modelling
OECD category: Automation and control systems
Impact factor: 1.995, year: 2019
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2019/RO/haindl-0508907.pdf https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0250
Permanent Link: http://hdl.handle.net/11104/0299790