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International Conference on Intelligent Systems Design and Applications

ISDA 2018 2018: Intelligent Systems Design and Applications pp 988–997Cite as

Detection of Exudates from Fundus Images

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 940))

Abstract

With the rapid urbanization and growth of work-oriented atmosphere, stress in one’s life is not left behind. Though stress is casually linked with mental depression and exhaustion, it also induces physical malady. Diabetes is one such ailment that is caused by stress. If the blood sugar levels are not controlled, this may result in Diabetic Retinopathy, where the blood vessels break down in the retina of the eye, leading in formation of exudates. These irregularities caused due to accumulation of leaked lipids and fats, can be witnessed in fundus images. A novel algorithm is proposed in this paper to detect exudates. The technique has been developed on MATLAB. It involves elementary concepts of image processing to detect exudates, also to eliminate optic disc. This has been tested on 60 images. This method yields an accuracy of 90%.

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References

  1. Rupanagudi, S.R., Bhat, V.G., Savarni, K.R.V.R., Bharadwaj, S., Prasuna, V.N.P.: A novel automatic low cost cutting machine-cum-3D printer using an image processing based control. In: 2015 IEEE Bombay Section Symposium (IBSS), Mumbai, pp. 1–6 (2015)

    Google Scholar 

  2. Rupanagudi, S.R., et al.: A novel and secure methodology for keyless ignition and controlling an automobile using air gestures. In: 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, pp. 1416–1422 (2016)

    Google Scholar 

  3. Rupanagudi, S.R., et al.: A novel video processing based cost effective smart trolley system for supermarkets using FPGA. In: 2015 International Conference on Communication, Information & Computing Technology (ICCICT), Mumbai, pp. 1–6 (2015)

    Google Scholar 

  4. Rupanagudi, S.R., et al.: A novel video processing based smart helmet for rear vehicle intimation & collision avoidance. In: 2015 International Conference on Computing and Network Communications (CoCoNet), Trivandrum, pp. 799–805 (2015)

    Google Scholar 

  5. Surwit, R.S., Schneider, M.S., Feinglos, M.N.: Stress and diabetes mellitus. Diabetes Care 15, 1413–1422 (1992). https://doi.org/10.2337/diacare.15.10.1413

    Article  Google Scholar 

  6. Muftuoglu, G., Gulkilik, G.: Pars plana vitrectomy in advanced Coats’ disease. Case Rep. Ophthalmol. 2, 15–22 (2011)

    Article  Google Scholar 

  7. Borjas, R., Flores, W.: Developing a human prosthesis using a 3D printer in Honduras. In: 2015 IEEE Thirty Fifth Central American and Panama Convention (CONCAPAN XXXV), Tegucigalpa, pp. 1–5 (2015)

    Google Scholar 

  8. Yu, S., Xiao, D., Kanagasingam, Y.: Exudate detection for diabetic retinopathy with convolutional neural networks. In: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, pp. 1744–1747 (2017)

    Google Scholar 

  9. Qomariah, D.U.N., Tjandrasa, H.: Exudate detection in retinal fundus images using combination of mathematical morphology and Renyi entropy thresholding. In: 2017 11th International Conference on Information & Communication Technology and System (ICTS), Surabaya, pp. 31–36 (2017)

    Google Scholar 

  10. Ruba, T., Ramalakshmi, K.: Identification and segmentation of exudates using SVM classifier. In: 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, pp. 1–6 (2015)

    Google Scholar 

  11. Patil, P., Shettar, P., Narayankar, P., Patil, M.: An efficient method of detecting exudates in diabetic retinopathy: using texture edge features. In: 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, pp. 1188–1191 (2016)

    Google Scholar 

  12. Jadhav, A.S., Patil, P.B.: Detection of exudates for diabetic retinopathy using wavelet transform. In: 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai, pp. 568–571 (2017)

    Google Scholar 

  13. Kokare, P.: Wavelet based automatic exudates detection in diabetic retinopathy. In: 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, pp. 1022–1025 (2017)

    Google Scholar 

  14. Nugroho, H.A., Oktoeberza, K.Z.W., Ardiyanto, I., Buana, R.L.B., Sasongko, M.B.: Automated segmentation of hard exudates based on matched filtering. In: 2016 International Seminar on Sensors, Instrumentation, Measurement and Metrology (ISSIMM), Malang, pp. 84–87 (2016)

    Google Scholar 

  15. Ahmed, M.S., Indira, B.: Detection of exudates from RGB fundus images using 3σ control method. In: 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, pp. 767–770 (2017)

    Google Scholar 

  16. Somkuwar, A.C., Patil, T.G., Patankar, S.S., Kulkarni, J.V.: Intensity features based classification of hard exudates in retinal images. In: 2015 Annual IEEE India Conference (INDICON), New Delhi, pp. 1–5 (2015)

    Google Scholar 

  17. Kauppi, T., Kalesnykiene, V., Kamarainen, J.-K., Lensu, L., Sorri, I., Uusitalo, H., Kälviäinen, H., Pietilä, J.: DIARETDB0: evaluation database and methodology for diabetic retinopathy algorithms, Technical report

    Google Scholar 

  18. Kauppi, T., Kalesnykiene, V., Kamarainen, J.-K., Lensu, L., Sorri, I., Raninen A., Voutilainen R., Uusitalo, H., Kälviäinen, H., Pietilä, J.: DIARETDB1 diabetic retinopathy database and evaluation protocol, Technical report

    Google Scholar 

  19. Porwal, P., Pachade, S., Kamble, R., Kokare, M., Deshmukh, G., Sahasrabuddhe, V., Meriaudeau, F.: Indian Diabetic Retinopathy Image Dataset (IDRiD): a database for diabetic retinopathy screening research. Data 3, 25 (2018)

    Article  Google Scholar 

  20. Decencière, E., et al.: Feedback on a publicly distributed database: the Messidor database. Image Anal. Stereol. 33(3), 231–234 (2014). ISSN 1854-5165

    Article  Google Scholar 

  21. Rupanagudi, S.R., Huddar, S., Bhat, V.G., Patil, S.S., Bhaskar, M.K.: Novel methodology for Kannada Braille to speech translation using image processing on FPGA. In: 2014 International Conference on Advances in Electrical Engineering (ICAEE), Vellore, pp. 1–6 (2014)

    Google Scholar 

  22. Ghosh, M., Mukhopadhyaya, S.: Cache oblivious algorithm of average filtering in image processing. In: 2012 International Conference on Informatics, Electronics & Vision (ICIEV), Dhaka, pp. 149–154 (2012)

    Google Scholar 

  23. Komal, V., Yaduvir, S.: Enhancement of images using histogram processing techniques. Int. J. Comput. Technol. Appl. 2, 309–313 (2011)

    Google Scholar 

  24. Rupanagudi, S.R., et al.: A simplified approach to assist motor neuron disease patients to communicate through video oculography. In: 2018 International Conference on Communication Information and Computing Technology (ICCICT), Mumbai, pp. 1–6 (2018)

    Google Scholar 

  25. Hamid, H., Najmeh, S., Salehi, S.M.M.: Using morphological transforms to enhance the contrast of medical images. Egypt. J. Radiol. Nucl. Med. 46, 481–489 (2015)

    Article  Google Scholar 

  26. He, L., Ren, X., Gao, Q., Zhao, X., Yao, B., Chao, Y.: The connected-component labeling problem: a review of state-of-the-art algorithms. Pattern Recognit. 70, 25–43 (2017)

    Article  Google Scholar 

  27. In.mathworks.com: Measure properties of image regions - MATLAB regionprops-MathWorks India (2018). https://in.mathworks.com/help/images/ref/regionprops.html. Accessed 14 Sep 2018

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Author information

Authors and Affiliations

  1. Department of ECE, Atria Institute of Technology, VTU, Bangalore, Karnataka, India

    Vasanthi Satyananda

  2. Atria Institute of Technology, Bangalore, India

    K. V. Narayanaswamy

  3. Dayanand Sagar University, Bangalore, India

    Karibasappa

Authors
  1. Vasanthi Satyananda
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  2. K. V. Narayanaswamy
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  3. Karibasappa
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Corresponding author

Correspondence to Vasanthi Satyananda .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Satyananda, V., Narayanaswamy, K.V., Karibasappa (2020). Detection of Exudates from Fundus Images. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_92

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