Search results

  1. 1.
    0584124 - ÚTIA 2025 RIV GB eng J - Journal Article
    Vácha, Pavel - Haindl, Michal
    Texture recognition under scale and illumination variations.
    Journal of Information and Telecommunication. Roč. 8, č. 1 (2024), s. 130-148. ISSN 2475-1839. E-ISSN 2475-1847
    R&D Projects: GA ČR(CZ) GA19-12340S
    Institutional support: RVO:67985556
    Keywords : Markovian Textural features * LBP * Gabor features * scale sensitivity * illumination sensitivity
    OECD category: Automation and control systems
    Method of publishing: Open access
    https://www.tandfonline.com/doi/full/10.1080/24751839.2023.2265190 http://library.utia.cas.cz/separaty/2024/RO/haindl-0584124.pdf
    Permanent Link: https://hdl.handle.net/11104/0352103
     
     
  2. 2.
    0579554 - ÚTIA 2024 RIV NL eng J - Journal Article
    Žid, Pavel - Haindl, Michal - Havlíček, Vojtěch
    Governmental Anti-Covid Measures Effectiveness Detection.
    Procedia Computer Science. Roč. 225, č. 1 (2023), s. 2922-2931. ISSN 1877-0509.
    [International Conference on Knowledge-Based and Intelligent Information & Engineering Systems 2023 (KES 2023) /27./. Athens, 06.09.2023-08.09.2023]
    R&D Projects: GA ČR(CZ) GA19-12340S
    Institutional support: RVO:67985556
    Keywords : COVID-19 * Recursive forecasting model * Machine learning method * Prediction * Anti-pandemic measures
    OECD category: Automation and control systems
    Method of publishing: Open access
    http://library.utia.cas.cz/separaty/2023/RO/zid-0579554.pdf https://www.sciencedirect.com/science/article/pii/S1877050923014436?via%3Dihub
    Permanent Link: https://hdl.handle.net/11104/0348913
     
     
  3. 3.
    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: 23.6, 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
     
     
  4. 4.
    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
     
     
  5. 5.
    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
     
     
  6. 6.
    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
     
     


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