A New Approach for Detection of Retinal Haemorrhages in Colour Fundus Images

Authors

  • Hanung Adi Nugroho Department of Electrical Engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia.
  • Latifah Listyalina Department of Electrical Engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia. Department of Electrical Engineering, Faculty of Science and Technology, Universitas Respati Yogyakarta, Yogyakarta, Indonesia.
  • Dhimas Arief Dharmawan Department of Electrical Engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia.

Keywords:

Colour Retinal Image, Diabetic Retinopathy, Haemorrhages, Two-dimensional Matched Filter,

Abstract

We propose a new approach for retinal haemorrhages detection in a retinal image. Our approach is divided into three steps. Pre-processing step which consists of green and V band extraction, histogram matching, contrast enhancement and morphological opening operation is needed to improve the image quality. In the most important step, retinal haemorrhage which is a benchmark of diabetic retinopathy is extracted from colour retinal images using a two-dimensional matched filter. Finally, a post-processing step is performed to reduce the false positive of detected haemorrhages. Our approach is validated on 89 public retinal images from DIARETDB1 database. Three validation parameters, namely sensitivity, specificity and accuracy are calculated by comparing our result to its corresponding hand labelled haemorrhages image. The obtained average sensitivity, specificity and accuracy are 0.91, 0.98 and 0.98, respectively. This achievement is much better than that of other published methods.

References

H. A. Nugroho, L. Listyalina, N. A. Setiawan, S. Wibirama, and D. A. Dharmawan, "Automated segmentation of optic disc area using mathematical morphology and active contour," in International Conference on Computer, Control, Informatics and its Applications (IC3INA), 2015, pp. 18-22.

A. F. M. Hani, H. Nugroho, H. A. Nugroho, L. I. Izhar, N. F. Ngah, T. M. George, et al., "Toward a Fully Automated DR Grading System," in 5th European Conference of the International Federation for Medical and Biological Engineering, 2012, pp. 663-666.

A. F. M. Hani, L. I. Izhar, and H. A. Nugroho, "Analysis of foveal avascular zone in color fundus image for grading of diabetic retinopathy," Int. J. of Recent Trends in Engineering and Technology, vol. 2, 2009.

M. J. Paranjpe and M. Kakatkar, "Review of Methods for Diabetic Retinopathy Detection and Severity Classification," International Journal of Research in Engineering and Technology, vol. 3, pp. 619- 24, 2014.

J. M. Shivaram and R. Patil, "Automated Detection and Quantification of Haemorrhages in Diabetic Retinopathy Images using Image Arithmetic and Mathematical Morphology Methods," International Journal of Recent Trends in Engineering, vol. 2, pp. 174-176, 2009.

X. Zhang and G. Fan, "Retinal Spot Lesion Detection using Adaptive Multiscale Morphological Processing," in International Symposium on Visual Computing, 2006, pp. 490-501.

C. Sinthanayothin, J. Boyce, T. Williamson, H. Cook, E. Mensah, S. Lal, et al., "Automated Detection of Diabetic Retinopathy on Digital Fundus Images," Diabetic Medicine, vol. 19, pp. 105-112, 2002.

L. Tang, M. Niemeijer, and M. D. Abràmoff, "Splat Feature Classification: Detection of The Presence of Large Retinal Hemorrhages," in 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011, pp. 681-684.

M. Loesdau, S. Chabrier, and A. Gabillon, "Hue and Saturation in The RGB Color Space," in International Conference on Image and Signal Processing, 2014, pp. 203-212.

D. Coltuc, P. Bolon, and J.-M. Chassery, "Exact Histogram Specification," IEEE Transactions on Image Processing, vol. 15, pp. 1143-1152, 2006.

D. Welfer, J. Scharcanski, C. M. Kitamura, M. M. Dal Pizzol, L. W. Ludwig, and D. R. Marinho, "Segmentation of The Optic Disk in Color Eye Fundus Images using An Adaptive Morphological Approach," Computers in Biology and Medicine, vol. 40, pp. 124-137, 2010.

M. D. Saleh and C. Eswaran, "An Automated Decision Support System for Non-proliferative Diabetic Retinopathy Disease Based on MAs and HAs Detection," Computer Methods and Programs in Biomedicine, vol. 108, pp. 186-196, 2012.

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Published

2017-11-30

How to Cite

Nugroho, H. A., Listyalina, L., & Dharmawan, D. A. (2017). A New Approach for Detection of Retinal Haemorrhages in Colour Fundus Images. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-8), 113–116. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3108