• DocumentCode
    2764582
  • Title

    Contrast Enhancement of Retinal Vasculature in Digital Fundus Image

  • Author

    Fadzil, M. H Ahmad ; Nugroho, H. Adi ; Nugroho, H. ; Iznita, I. Lila

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2009
  • fDate
    7-9 March 2009
  • Firstpage
    137
  • Lastpage
    141
  • Abstract
    Analyzing retinal fundus image is important for early detection of diseases related to the eye. However, in fundus images the contrast between retinal blood vessels and the background is very low. Hence, analyzing or visualizing tiny blood vessels is difficult. Fluorescein angiogram overcomes this imaging problem but it is an invasive procedure that leads to other physiological problems. In this work, we enhance the low contrast of retinal vasculature in the ocular fundus image by determining the retinal pigments makeup, namely haemoglobin, melanin and macular pigment using independent component analysis. Independent component image due to haemoglobin pigment obtained exhibits higher contrast retinal vasculature. Even though the fundus fluorescein angiograph method produces higher contrast images, results show that this approach outperforms other noninvasive enhancement method, such as contrast limited adaptive histogram equalization and can be beneficial for vessel segmentation. Contrast enhancement factor of 3.2 for digital retinal images is achieved. This improvement in contrast reduces the need of applying contrasting agent on patients.
  • Keywords
    blood vessels; data visualisation; diseases; eye; image enhancement; image segmentation; independent component analysis; medical image processing; proteins; contrast enhancement; digital retinal fundus image; eye disease detection; fluorescein angiogram; haemoglobin pigment; independent component analysis; macular pigment; melanin pigment; retinal blood vessel visualization; retinal pigment makeup; retinal vasculature; vessel segmentation; Adaptive equalizers; Biomedical imaging; Blood vessels; Diseases; Histograms; Image analysis; Independent component analysis; Pigments; Retina; Visualization; contrast enhancement; fundus images; independent component analysis; retinal vasculature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Processing, 2009 International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-0-7695-3565-4
  • Type

    conf

  • DOI
    10.1109/ICDIP.2009.32
  • Filename
    5190517