Search results

  1. 1.
    0545221 - ÚTIA 2022 RIV US eng J - Journal Article
    Mikeš, Stanislav - Haindl, Michal
    Texture Segmentation Benchmark.
    IEEE Transactions on Pattern Analysis and Machine Intelligence. (2021). 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
    Subject RIV: BD - Theory of Information
    OBOR OECD: Robotics and automatic control
    Impact factor: 16.389, year: 2020
    http://library.utia.cas.cz/separaty/2021/RO/haindl-0545221.pdf
    Permanent Link: http://hdl.handle.net/11104/0322145
     
     
  2. 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
    Subject RIV: BD - Theory of Information
    OBOR OECD: Automation and control systems
    Impact factor: 1.995, year: 2019
    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. 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
    Subject RIV: BD - Theory of Information
    OBOR OECD: Communication engineering and systems
    Impact factor: 3.255, year: 2019
    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. 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
    Subject RIV: BD - Theory of Information
    OBOR OECD: Automation and control systems
    Impact factor: 1.605, year: 2019
    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