Aibinu, Abiodun Musa and Iqbal, Muhammad Imran and Nilsson, Mikael and Salami, Momoh Jimoh Emiyoka
(2007)
Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques.
In: Proceedings of the International Conference on Robotics, Vision, Information and Signal Processing (ROVISP2007), 28-30 November 2007, Penang, Malaysia.
Abstract
Automatic diagnosis and display of diabetic retinopathy
from images of retina using the techniques of digital signal
and image processing is presented in this paper. The
acquired images undergo pre-processing to equalize uneven
illumination associated with the acquired fundus images.
This stage also removes noise present in the image.
Segmentation stage clusters the image into two distinct
classes while the abnormalities detection stage was used to
distinguish between candidate lesions and other information.
Methods of diagnosis of red spots, bleeding and detection of
vein-artery crossover points have also been developed in this
work using the color information, shape, size, object length
to breadth ration as contained in the acquired digital fundus
image. The algorithm was tested with a separate set of 25
fundus images. From this, the result obtained for
Microaneurysms and Haemorrhages diagnosis shows the
appropriateness of the method.
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