• DocumentCode
    2714031
  • Title

    Contrast enhancement for Ziehl-Neelsen tissue slide images using linear stretching and histogram equalization technique

  • Author

    Osman, M.K. ; Mashor, M.Y. ; Saad, Z. ; Jaafar, H.

  • Author_Institution
    Electron. & Biomed. Intell. Syst. (EBItS) Res. Group, Univ. Malaysia Perlis, Arau, Malaysia
  • Volume
    1
  • fYear
    2009
  • fDate
    4-6 Oct. 2009
  • Firstpage
    431
  • Lastpage
    435
  • Abstract
    Ziehl-Neelsen staining method is a common technique used to diagnose tuberculosis infection. Clinical samples such as sputum or tissue are stained using Ziehl-Neelsen procedure and analysed manually by microbiologist for detecting TB bacilli. However, the screening process is labour intensive and time consuming. Image enhancement tools can be used to improve the manual screening process. This paper analyses the performance of linear stretching and histogram equalization techniques for Ziehl-Neelsen tissue slide images. Both enhancement techniques which are originally implemented for gray-scale image have been adapted for colour images. Although the adapted image processing technique is simple, the results indicate that these methods may have some potential to be used for improving the quality of Ziehl-Neelsen slide images. Overall analyses show that the linear stretching using local minimum and maximum value has successfully improved the image contrast and enhance the image quality.
  • Keywords
    biological tissues; diseases; image colour analysis; image enhancement; medical image processing; patient diagnosis; Image enhancement tools; TB bacilli detection; Ziehl Neelsen tissue slide images; adapted image processing technique; clinical samples sputum; clinical samples tissue; colour images adaptation; contrast enhancement; diagnose tuberculosis infection; gray scale image; histogram equalization technique; image quality enhancement; linear stretching; manual screening process; screening process labour intensive; Biomedical imaging; Histograms; Image analysis; Image edge detection; Image enhancement; Image processing; Industrial electronics; Intelligent systems; Medical diagnostic imaging; Zinc; Contrast enhancement; TB bacillus detection; histogram equalization; linear stretching; tissue section;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-4681-0
  • Electronic_ISBN
    978-1-4244-4683-4
  • Type

    conf

  • DOI
    10.1109/ISIEA.2009.5356411
  • Filename
    5356411