Number of the records: 1  

Expertomica Fishgui: comparison of fish skin colour

  1. 1.
    SYSNO ASEP0424486
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleExpertomica Fishgui: comparison of fish skin colour
    Author(s) Urban, J. (CZ)
    Štys, D. (CZ)
    Sergejevova, Magda (MBU-M)
    Masojídek, Jiří (MBU-M) RID, ORCID
    Source TitleJournal of Applied Ichthyology. - : Wiley - ISSN 0175-8659
    Roč. 29, č. 1 (2013), s. 172-180
    Number of pages9 s.
    Languageeng - English
    CountryDE - Germany
    KeywordsCARASSIUS-AURATUS ; IMAGE-ANALYSIS ; DIETARY SUPPLEMENTATION
    Subject RIVEE - Microbiology, Virology
    R&D ProjectsGA521/09/0656 GA ČR - Czech Science Foundation (CSF)
    Institutional supportMBU-M - RVO:61388971
    UT WOS000313553400023
    DOI10.1111/jai.12011
    AnnotationThe colour hue and saturation of the fish skin are important factors in fish breeding, reflecting the momentary physiological status of the fish. Algorithms evaluating fish colour were created in the MATLAB environment and compiled in the stand-alone application, Expertomica Fishgui. Fish groups fed on several diets (varying in carotenoid supplements) were compared as concerns image analysis methods on colour changes. Images were processed and evaluated to locate body positions, areas and colour saturation. Conversion from the Red-Green-Blue (RGB) colour space to chromatic colours was carried out to reduce the colour space. The threshold of skin chromatic colour was set on basis of the chromatic histograms using Otsu automatic bimodal segmentation. The average colour was calculated through all pixels of the selected area in the original image and through all images of the group. Colour conversion to the Hue-Saturation-Value (HSV) colour space was also carried out. Relative deviation between the saturation of samples in the control and the experimental groups provided a means of judgement. The dominant wavelength was also determined
    WorkplaceInstitute of Microbiology
    ContactEliška Spurná, eliska.spurna@biomed.cas.cz, Tel.: 241 062 231
    Year of Publishing2014
Number of the records: 1  

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