• DocumentCode
    3681477
  • Title

    Analysis of Pap smear images with iso- and edge-contours

  • Author

    Christoph Rasche;Serban Oprisescu;Alina Sultana;Tiberiu Radulescu

  • Author_Institution
    Image Processing and Analysis Laboratory, University “
  • fYear
    2015
  • Firstpage
    375
  • Lastpage
    378
  • Abstract
    A novel method for the detection and segmentation of nuclei and cells in Pap smear images is introduced. The method is based on a geometric analysis of iso- and edge-contours. For nuclei detection we employ isocontours taken at different levels of intensity and we report best detection (object) recall values as well as best segmentation precision values. For cell outline detection, we employ traditional edge-based contours and show that with a simple radial analysis one can detect the outline even in agglomerated cells - which so far has been approached rather hesitantly. The system was tested on three different databases.
  • Keywords
    "Databases","Image segmentation","Image edge detection","Transforms","Geometry","Shape","Cervical cancer"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCP.2015.7312687
  • Filename
    7312687