• DocumentCode
    2338224
  • Title

    Differential count of white blood cell in noisy normal blood smear

  • Author

    Lin, Sheng-Fuu ; Hong, Yu-Bi

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    18-20 July 2012
  • Firstpage
    1784
  • Lastpage
    1789
  • Abstract
    The artificial blood smear examination is an important disease diagnostics of the patient´s condition. However, because the sake of artificial coloring, digital image analysis of blood smear will be suffered by the un-uniform stain which is caused by (1) the procedure of making blood smear, (2) and the different dyeing agent. These situations mentioned above are the reasons that make the quality of image degeneration. In this paper, we present a simple method to ease the influence of un-uniform stain and extract the white blood cell nucleus for further analysis. Therefore, we can simply analyze the blood smear made by hand without using the scanner. Furthermore, we present a feature of lobes to distinguish the nucleus granulocyte (neutrophil, eosinophil, and basophil) from others. The experiment consist of 400 images of each kind of white blood cell to test the accuracy of this system we present.
  • Keywords
    biomedical imaging; blood; cellular biophysics; diseases; image segmentation; medical image processing; artificial blood smear examination; artificial coloring; basophil; digital image analysis; disease diagnostics; dyeing agent; eosinophil; image degeneration; neutrophil; noisy normal blood smear; nucleus granulocyte; white blood cell differential count; white blood cell nucleus; white blood cell segmentation; Computer architecture; Image color analysis; Image segmentation; Microprocessors; Support vector machines; White blood cells; Blood smear; White blood cell; microscope;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-2118-2
  • Type

    conf

  • DOI
    10.1109/ICIEA.2012.6361016
  • Filename
    6361016