| Penulis/Author |
Prof. Ir. Hanung Adi Nugroho, S.T., M.Eng., Ph.D., IPM., SMIEEE. (1); Dr. Indriana Hidayah, S.T., M.T. (2) |
| Abstrak/Abstract |
Diabetic retinopathy (DR), one of the most
common causes of blindness, is a retinal abnormality caused by
high glucose in diabetic patients that leads to micro vascular
complications. DR has five levels of severity, i.e. no DR, mild non-
proliferative diabetic retinopathy (NPDR), moderate NPDR,
severe NPDR and proliferative diabetic retinopathy (PDR).
Microaneurysms (MAs), the first sign of NPDR, can be used as a
pre-indicator of DR. However, a manual assessment on digital
colour fundus images conducted by ophthalmologists is time
consuming. This paper introduces a new algorithm for the
automated microaneurysms (MAs) detection in digital colour
fundus images using matched filter. Generally, the algorithm
consists of four phases, namely green band extraction, MAs and
blood vessels isolation, MAs and blood vessels detection, and
blood vessels removal. To validate the developed algorithm, the
results are compared with their ground truths and annotations
using ROI based validation. This algorithm obtains an average
sensitivity, specificity, accuracy, and false positive number of
91.0603%, 99.9752%, 99.9752% and 256.44 pixels, respectively.
This indicates that the proposed algorithm successfully detects
microaneurysms and is able to be implemented in a system for
DR mass screening purposes. |
