• DocumentCode
    1933494
  • Title

    A novel color image segmentation method and its application to white blood cell image analysis

  • Author

    Wu, JianHua ; Zeng, Pingping ; Zhou, Yuan ; Olivier, Christian

  • Author_Institution
    Sch. of Inf. Eng., Nanchang Univ.
  • Volume
    2
  • fYear
    2006
  • fDate
    16-20 2006
  • Abstract
    According to the fact that the H component in HSI color space contains most of the white blood cell information, and the S component contains the structure information of the white blood cell nucleus, we develop an iterative Otsu´s approach based on circular histogram for the leukocyte segmentation by taking full advantage of this knowledge. Experimental results show that this method works successfully in the segmentation of color smear microscopic images
  • Keywords
    blood; image colour analysis; image segmentation; medical image processing; H component; S component; circular histogram; color image segmentation method; color smear microscopic images; hue-saturation-intensity space; iterative approach; leukocyte segmentation; structure information; white blood cell image analysis; white blood cell information; white blood cell nucleus; Clustering algorithms; Feature extraction; Histograms; Image color analysis; Image edge detection; Image segmentation; Iterative methods; Microscopy; Silicon carbide; White blood cells;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2006 8th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9736-3
  • Electronic_ISBN
    0-7803-9736-3
  • Type

    conf

  • DOI
    10.1109/ICOSP.2006.345700
  • Filename
    4128992