Search results
- 1.0545221 - ÚTIA 2023 RIV US eng J - Journal Article
Mikeš, Stanislav - Haindl, Michal
Texture Segmentation Benchmark.
IEEE Transactions on Pattern Analysis and Machine Intelligence. Roč. 44, č. 9 (2022), s. 5647-5663. ISSN 0162-8828. E-ISSN 1939-3539
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Benchmark * Image segmentation * Texture segmentation * (Un)supervised segmentation * Segmentation criteria * Scale, rotation and illumination invariants
OECD category: Robotics and automatic control
Impact factor: 23.600, year: 2022
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2021/RO/haindl-0545221.pdf https://ieeexplore.ieee.org/document/9416785
Permanent Link: http://hdl.handle.net/11104/0322145
- 2.0508907 - 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
- 3.0506602 - ÚTIA 2020 RIV NL eng J - Journal Article
Remeš, Václav - Haindl, Michal
Bark recognition using novel rotationally invariant multispectral textural features.
Pattern Recognition Letters. Roč. 125, č. 1 (2019), s. 612-617. ISSN 0167-8655. E-ISSN 1872-7344
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Bark recognition * Tree taxonomy clasification * Spiral Markov random field model * textural feature
OECD category: Communication engineering and systems
Impact factor: 3.255, year: 2019
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2019/RO/haindl-0506602.pdf https://www.sciencedirect.com/science/article/pii/S0167865519301886
Permanent Link: http://hdl.handle.net/11104/0297826
- 4.0505448 - ÚTIA 2020 RIV DE eng J - Journal Article
Haindl, Michal - Remeš, Václav
Pseudocolor enhancement of mammogram texture abnormalities.
Machine Vision and Applications. Roč. 30, č. 4 (2019), s. 785-794, č. článku 6. ISSN 0932-8092. E-ISSN 1432-1769
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Mammograms * Region of interest enhancement * Computer-aided diagnosis * Texture model * Markov random field
OECD category: Automation and control systems
Impact factor: 1.605, year: 2019
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2019/RO/haindl-0505448.pdf https://link.springer.com/article/10.1007%2Fs00138-019-01028-6
Permanent Link: http://hdl.handle.net/11104/0297004