Microaneurysms Segmentation in Retinal Images for Early Detection of Diabetic Retinopathy

Authors

  • N. Mazlan School of Mechatronics, University Malaysia Perlis, 02600, Arau, Perlis, Malaysia
  • H. Yazid School of Mechatronics, University Malaysia Perlis, 02600, Arau, Perlis, Malaysia
  • S. A. Rahim School of Mechatronics, University Malaysia Perlis, 02600, Arau, Perlis, Malaysia
  • S.N Basah School of Mechatronics, University Malaysia Perlis, 02600, Arau, Perlis, Malaysia

Keywords:

Diabetic Retinopathy, H-maxima Transform, Multilevel Thresholding, Morphological Closing, Microaneurysms Segmentation,

Abstract

Microaneurysms (MAs) are the tiny aneurysms which show the earliest sign of diabetic retinopathy (DR). MAs might progress and harm human eyes if not treated. This paper presents an automatic method for segmentation of MAs in order to control the progression of DR. MESSIDOR database of 40 random images were utilised for further processing. The proposed approach covered pre-processing steps, contrast enhancement, filtration and segmentation by h-maxima transform and multilevel thresholding. Some post-processing techniques also involved in this approach using morphological operation. The detected MAs determined the grade of disease severity. The result showed that the percentage of severity disease detected was 60%.

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Published

2018-05-30

How to Cite

Mazlan, N., Yazid, H., Rahim, S. A., & Basah, S. (2018). Microaneurysms Segmentation in Retinal Images for Early Detection of Diabetic Retinopathy. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-16), 37–41. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4072

Issue

Vol. 10 No. 1-16: Recent Trends in Biomedical Engineering Systems and Technologies I

Section

Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)