• DocumentCode
    2487936
  • Title

    The measurement of multiple retinal images

  • Author

    HAO, Hao ; Kumar, Dinesh K. ; Azemin, Mohd Zulfaezal Che ; Aliahmad, Behzad

  • Author_Institution
    Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
  • fYear
    2011
  • fDate
    30-31 May 2011
  • Firstpage
    345
  • Lastpage
    348
  • Abstract
    We have developed a new method to measure and compare individual vessel diameters at the same location across multiple images of the same subject. This computer assisted semi-automated measurement includes some novel techniques, such as three-point optic disk identification, homocentric orientation and color mapping vessel edge detection. This method is able to identify the diameter changes of individual vessels across multiple retinal images. It will contribute to the better understanding of retinal microcirculation, physiology and pathology. The proposed method has been tested to be repeatable and reliable.
  • Keywords
    biomedical measurement; diseases; edge detection; eye; image colour analysis; medical image processing; color mapping vessel edge detection; computer assisted semi-automated measurement; diameter changes; homocentric orientation; multiple retinal image measurement; retinal microcirculation; retinal pathology; retinal physiology; three-point optic disk identification; vessel diameters; Current measurement; Image color analysis; Image edge detection; Optical imaging; Optical variables measurement; Retinal vessels; color mapping; diameter; edge; retinal image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
  • Conference_Location
    Bari
  • Print_ISBN
    978-1-4244-9336-4
  • Type

    conf

  • DOI
    10.1109/MeMeA.2011.5966731
  • Filename
    5966731