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Browsing by Subject "elispot"

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  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Zastosowanie algorytmów progowania adaptacyjnego do segmentacji barwnych obrazów mikroskopowych w badaniu metodą ELISPOT
    (Wydawnictwa AGH, 2008) Bieniecki, Wojciech; Węgrzyn, Michał; Grabowski, Szymon; Kościelska-Kasprzak, Katarzyna; Drulis-Fajdasz, Dominika; Mazanowska, Oktawia; Klinger, Marian
    An approach to segmentation of color microscope images, obtained in ELISPOT examination, which utilizes color components thresholding, is presented. Three methods of adaptive thresholding have been taken into account: Bernsen and two variants of Peaks & Valleys. Primarily, the algorithms were intended for monochrome images and the authors proposed their extension to RGB color space. The properties of the algorithms have been discussed basing on the tests carried out on images provided by the Wroclaw Medical Academy.
  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Zastosowanie algorytmu hit-miss do segmentacji barwnych obrazów mikroskopowych w badaniu metodą ELISPOT
    (Wydawnictwa AGH, 2008) Bieniecki, Wojciech; Gródecki, Artur; Grabowski, Szymon; Kościelska-Kasprzak, Katarzyna; Drulis-Fajdasz, Dominika; Mazanowska, Oktawia; Klinger, Marian
    A color microscope ELISPOT image segmentation approach based on the hit-miss method is presented. The original method is intended for binary images only. The authors propose an extension, which enables monochrome and color image processing. The algorithm has been successfully tested from the viewpoint of accuracy. The drawback of such approach is high computation complexity. The algorithm is part of the computer vision system SpotView, developed for Wroclaw Medical University, where the research on kidney graft rejection risk is conducted.