• DocumentCode
    677211
  • Title

    Non-invasive contrast enhancement for retinal fundus imaging

  • Author

    Hani, A.F.M. ; Soomro, Toufique Ahmed ; Fayee, Ibrahima

  • Author_Institution
    Centre for Intell. Signal & Imaging Res., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2013
  • fDate
    Nov. 29 2013-Dec. 1 2013
  • Firstpage
    197
  • Lastpage
    202
  • Abstract
    Diabetic Retinopathy (DR) is vision loss impairment due to complication arising from diabetic condition affecting the retina. It is known that the foveal avascular zone (FAZ) enlarges with progression of DR due to the loss of capillaries in perifoveal capillary network. However, normal retinal fundus images suffer from low and varied contrast problems. A non-invasive digital image enhancement technique called RETICA has been developed that overcomes the problem of varied and low contrast in fundus images. RETICA first normalises the varied contrast using a Retinex-based method that separates the illumination from the reflectance part of the image followed by ICA that forms the original retinal pigment makeup namely the macular, haemoglobin and melanin retinal pigment. The technique has been applied on our FINDeRS dataset contained 175 fundus images and another 35 fundus image pairs obtained from an earlier study containing colour fundus images and their corresponding fluorescein fundus angiogram (FFA) images. For the 35 image pairs, RETICA achieved an average contrast improvement factor (CIF) of up to 5.46 compared to the invasive FFA at 5.12. For the FINDeRS images, RETICA achieved an average CIF of 5.63 with denoising. The RETICA image enhancement technique potentially reduces the need for the invasive fluorescein angiogram in DR assessment.
  • Keywords
    biomedical optical imaging; capillarity; diseases; eye; fluorescence; image denoising; image enhancement; medical image processing; molecular biophysics; pigments; proteins; reflectivity; vision defects; FINDeRS dataset; RETICA image enhancement technique; Retinex-based method; average contrast improvement factor; colour fundus images; denoising; diabetic condition; diabetic retinopathy; fluorescein fundus angiogram images; foveal avascular zone; haemoglobin; illumination; invasive fluorescein angiogram; macular retinal pigment; melanin retinal pigment; noninvasive contrast enhancement; noninvasive digital image enhancement technique; normal retinal fundus imaging; original retinal pigment makeup; perifoveal capillary network; reflectance; vision loss impairment; Biomedical imaging; Blood vessels; Diabetes; Image color analysis; Pigments; Retina; Retinopathy; Contrast Enhancement; Independent Component Analysis; RETICA; Retinex; diabetic retinopathy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on
  • Conference_Location
    Mindeb
  • Print_ISBN
    978-1-4799-1506-4
  • Type

    conf

  • DOI
    10.1109/ICCSCE.2013.6719958
  • Filename
    6719958