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Coniferous Trees Needles-Based Taxonomy Classification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00520496" target="_blank" >RIV/67985556:_____/19:00520496 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/IVCNZ48456.2019.8961023" target="_blank" >http://dx.doi.org/10.1109/IVCNZ48456.2019.8961023</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IVCNZ48456.2019.8961023" target="_blank" >10.1109/IVCNZ48456.2019.8961023</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Coniferous Trees Needles-Based Taxonomy Classification

  • Original language description

    This paper introduces multispectral rotationally invariant textural features of the Markovian type applied for the effective coniferous tree needles categorization. Presented texture features are inferred from the descriptive multispectral spiral wide-sense Markov model. Unlike the alternative texture recognition methods based on various gray-scale discriminative textural descriptions, we take advantage of the needles texture representation, which is fully descriptive multispectral and rotationally invariant. The presented method achieves high accuracy for needles recognition. Thus it can be used for reliable coniferous tree taxon classification. Our classifier is tested on the open source needles database Aff, which contains 716 high-resolution images from 11 diverse coniferous tree species.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/GA19-12340S" target="_blank" >GA19-12340S: Surface material recognition under variable optical observation conditions</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    International Conference on Image and Vision Computing New Zealand 2019 (IVCNZ 2019)

  • ISBN

    978-1-7281-4188-6

  • ISSN

    2151-2191

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1-6

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Dunedin

  • Event date

    Dec 2, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article