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Multispectral Texture Benchmark

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00370130" target="_blank" >RIV/68407700:21240/23:00370130 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.procs.2023.10.308" target="_blank" >https://doi.org/10.1016/j.procs.2023.10.308</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.procs.2023.10.308" target="_blank" >10.1016/j.procs.2023.10.308</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multispectral Texture Benchmark

  • Original language description

    Dozens of textural features have been published, but their realistic validation for efficient recognition applications still needs to be discovered. Textural features are derived using various approaches. We present a benchmark that can be used to evaluate these features and categorize them based on their information efficiency. We propose how the features can be benchmarked and explain different ways of measuring their properties and performance. Most textural feature-extracting algorithms are only based on information extraction from monospectral images (gray-level). Apart from native multispectral algorithms, we generalize some of these originally monospectral features for hyperspectral textures in our illustrating examples.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Procedia Computer Science

  • ISSN

    1877-0509

  • e-ISSN

    1877-0509

  • Volume of the periodical

    225

  • Issue of the periodical within the volume

    December

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    10

  • Pages from-to

    3143-3152

  • UT code for WoS article

  • EID of the result in the Scopus database