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Utilizing fractal dimensions of extrudate sectional images for describing their textural properties

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F15%3A43907052" target="_blank" >RIV/62156489:43410/15:43907052 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Utilizing fractal dimensions of extrudate sectional images for describing their textural properties

  • Original language description

    Fractal dimension is one of important parameters of fractal geometry, which can be adapted for variety of applications. In this work, we explored the use of fractal methods for analysis extrudate cut view (section) images. The idea was to extract some fractal indicies to describe the textural properties such as: crispness and hardness. The extrudates were produced in a double screw extruder. The different inner structures were obtained by changes of process parameters. From each batch, 20 samples were chosen by random sampling, which were later divided into two parts. One part of the extrudate sample was measured in texture analyzer and second one was prepared for cut view imaging. The images of the cut-view were taken in the light chamber with standard D65 light. The Fourier power spectrum methods were proposed for the assessments of textural properties of extrudate samples. To measure the image fractal dimension the Matlab software was used.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    GM - Food industry

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    SGEM2015. Advances in Biotechnology: Conference Proceedings

  • ISBN

    978-619-7105-42-1

  • ISSN

    1314-2704

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    649-656

  • Publisher name

    STEF92 Technology Ltd.

  • Place of publication

    Sofia

  • Event location

    Albena

  • Event date

    Jun 18, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000371601900088