• DocumentCode
    3634994
  • Title

    Unsupervised two-color ELISPOT image segmentation based on k-means Clustering

  • Author

    Wojciech Bieniecki;Michał Krupiński;Szymon Grabowski;Katarzyna Kościelska-Kasprzak;Dominika Drulis-Fajdasz;Oktawia Mazanowska;Marian Klinger

  • Author_Institution
    Computer Engineering Dept., al. Politechniki 11, 90-924 Lodz, Poland
  • fYear
    2008
  • Firstpage
    368
  • Lastpage
    372
  • Abstract
    An algorithm for color microscope image segmentation is presented. The aim of the segmentation is to extract two types of color spots in a viewing area. The algorithm, based on k-means clustering, with a known number of spot types, automatically selects the color ranges for each type of spot and carries out the pixel classification.
  • Keywords
    "Pixel","Image segmentation","Education","Image color analysis","Feature extraction","Gravity","Classification algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2008 Proceedings of International Conference on
  • Print_ISBN
    978-966-553-678-9
  • Type

    conf

  • Filename
    5423374
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3634994