International Journal of Biomedical Science and Engineering
Volume 7, Issue 2, June 2019, Pages: 45-60
Received: Aug. 10, 2019;
Accepted: Aug. 29, 2019;
Published: Sep. 16, 2019
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Hla Myo Tun, Department of Electronic Engineering, Yangon Technological University, Yangon, Myanmar
Diabetic retinopathy is a dangerous eye disease which causes the blindness widely in the human society. It arises due to high sugar level in the blood. The eye disease caused due to the diabetes is called diabetic retinopathy. The symptoms of diabetic retinopathy are red lesions such as microaneurysms (MA), intraretinal hemorrhages and bright lesions such as exudates, cotton wool spots and blood vessels. Microaneurysm (MA) is one of the features of the diabetic retinopathy. They are discrete, localized saccular distensions of the weakened capillary walls and appear as small round dark red dots on the retinal surface. According to the medical definition of MA, it is a reddish, circular pattern with a diameter λ is less than 125μm. Microaneurysms are mostly found near thin blood vessels, but cannot actually be located on the blood vessels. According to the number of microaneurysms, the diabetic retinopathy can be classified as mild stage, moderate stage and the severe stage. To detect the microaneurysms, the optic disc and the blood vessels are firstly detected because they are normal features of the image. And also, in the detection of microaneurysms the pre-processing stage is very important. In the pre-processing stage, the filtering techniques and the histogram equalization techniques are applied to reduce the effect of noise and uneven illumination cases. To detect the optic disc, blood vessels and the microaneurysms, the mathematical morphological method is applied. The result of this research can help in the screening of diabetic retinopathy.
Hla Myo Tun,
Analysis on Image Processing Technology-based Diabetic Retinopathy, International Journal of Biomedical Science and Engineering.
Vol. 7, No. 2,
2019, pp. 45-60.
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