Automated Segmentation of Optic Disc Area using Mathematical Morphology and Active Contour
Penulis/Author
Prof. Ir. Hanung Adi Nugroho, S.T., M.Eng., Ph.D., IPM., SMIEEE. (1); Ir. Noor Akhmad Setiawan, S.T., M.T., Ph.D., IPM. (2); Dr.Eng. Ir. Sunu Wibirama, S.T., M.Eng., IPM. (3)
Tanggal/Date
2015
Abstrak/Abstract
Optic disc area is a circular and quite distinct
bright region in a digital colour fundus image. This paper
provides new method to get an optic disc area automatically. Our
method works with some steps. In the first step, the red channel
is extracted. Then, the optic disc area is localised using circular
average filter to detect the candidate of optic disc point. This
point is used to establish the region of interest (ROI). After
creating the ROI, multiple bottom hat transformation is
employed to detect the blood vessels. To remove blood vessel
regions, the result of multiple bottom hat transformation is added
to ROI image. Before segmentation is performed, image
smoothing is done using average filter. The method is tested on
forty different optical disc images from DRION database. Our
proposed method achieves an average level of sensitivity,
specificity and accuracy of 96.12%, 94.36 % and 94.71%,
respectively. This indicates that the proposed algorithm
successfully detects and segments the optic disc area and is able
to be implemented as measurement for the projection line to get
the centre of the fovea.
