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    Optic Disk and Fovea Localization by Using the Direction of Blood Vessels and Morphology Operation
    (2021-03-17)
    Kanjanasurat, Isoon
    ;
    Satayarak, Nitjaree
    This paper presents the optic disk localization by using the matrix that extracted the blood vessels' direction and finding the fovea position using morphology operation in diabetic retinopathy. Our approach begins with blood vessel extraction for locating the optic disk area. Next process, the blood vessel structure was used to estimate the location of the optic disk. Next step, the morphology operator, including erosion and dilation, was used to prepare for attaining the fovea region. Finally, the location of the fovea was estimated by using the position of the optic disk, and specific characteristics of the fovea spot. The proposed method was tested on the DRIVE, DIARETDB0, and DIARETDB1 that is a public diabetic retinal image dataset. The results of the optic disk and fovea localization were compared with the ground truth image. This method can locate optic disk and fovea on DRIVE 100%. In DIARETDB0 and DIARETDB1, this algorithm can achieve optic disk 96.15% and 98.87%, respectively, and locate fovea more than 90%.
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    Blood Vessel Extraction and Optic Disk Localization for Diabetic Retinopathy
    (2020-09-15)
    Kanjanasurat, Isoon
    ;
    Purahong, Boonchana
    ;
    Pintavirooj, Chuchart
    ;
    Satayarak, Nitjaree
    ;
    Benjangkaprasert, Chawalit
    This paper presents methods of vascular extraction and optic disk localization in the retinal images. Our approach begins with preprocessing to improve the quality of blood vessels. In the next step, a matrix filter was applied to express blood vessels. Finally, the blood vessel structure was used to estimate the location of the optic disk. The proposed method was tested on all different forty retinal images from the DRIVE database, which public retinal image dataset. The results of vessel extraction were compared with the ground truth image. The error of vascular extraction showed that the average sensitivity and accuracy were 79.81% and 94.98%, respectively. The optic disk localization achieved 97.5%.