Abstract
Diabetic Retinopathy that is characterised by the progressive deterioration in retinal blood vessels is considered the root cause of severe vision loss in diabetic patients. This situation can be reduced upto much extent by regular screening and diagnosis. Precise automatic segmentation of optical disc and automated blood vessel extraction results in effective diagnosis of diabetic retinopathy reducing the chances of vision loss. A considerable progress has been made by various researchers towards automating the ophthalmic image processing via computer aided screening but maintaining the image quality as that of the original fundus image is still a challenge. In this paper, authors have evaluated Optical Disc Segmentation methods based on thresholding, region growing algorithm and mathematical morphology for effective removal of optical disc to facilitate blood vessel extraction. A new blood vessel extraction technique using Mathematical Morphology and Fuzzy Algorithm is proposed for precise blood vessel extraction. Two open access standard fundus image databases, DRIVE and STARE were exploited for performance evaluation of the proposed approach. This approach is effective in identifying optical disc to extract the blood vessels near the optical disc area which plays an important role in early diagnosis of diabetic retinopathy.
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References
Eye smart eye health information from the American academy of ophthalmology. The Eye MD Association
Amin, J., Sharif, M., Yasmin, M.: A Review on Recent developments for detection of Diabetic Retinopathy. Hindawi Publishing Corporation Scientifica. (2016)
Ortega, M., Penedo, M.G., Rouco, J., et al.: Retinal Verification using a feature points based biometric pattern. EURASIP J. Adv. Signal Process. 2 (2009)
Kar, S.S., Maity, S.P.: Automatic detection of retinal lesions for screening of diabetic retinopathy. IEEE Trans. Biomed. Eng. 65(3), 608–618 (2016)
Dehghani, A., Moghaddam, H.A., Moin, M.S.: Optical disc localization in retinal images using histogram matching. EURASIP J. Image Video Process. 2012, 19 (2012)
Patwari, M., Manza R., et al.: Automated localization of optical disc, detection of microaneursyms and extraction of blood vessels to bypass angiography. In: Advanced in Intelligent Systems and Computing (2015)
Muangnak, N., Aimmanee, P., et al.: Vessel transform for automatic disc detection in retinal images. IET J. Inst. Eng. Technol. 9, 743–750 (2015)
Rathod D., Monza R., et al.: Localization of Optical Disc using HRF database (2015)
Muangnak, N., Aimmanee, P., Makhanov, s: Automatic optic disc detection in retinal images using hybrid vessel phase portrait analysis. Int. Fed. Med. Biol. Eng. 56, 583–598 (2017)
Gonzalez, A.S., Kaba, D., Li, Y., Liu, X.: Segmentation of the blood vessels and optic disc in retinal images. IEEE J. Biomed. Health Inform. 18(6), 1874–1886 (2014)
Jestin, V.K.: Extraction of blood vessels and optic disc segmentation for retinal disease classification. In: Recent Advances in Computer Science, pp. 440–444 (2015)
Phyo, O., Khaing, A.S.: Automatic detection of optical disc and blood vessels from retinal images using image processing techniques. Int. J. Res. Eng. Technol. 3(3), 300–307 (2014)
Prakash, R.S., Aditya, R., Sameer, Y., Parameswari, S., Kumar, G.S.: Retinal blood vessel extraction and optical disc removal. Int. J. Res. Eng. Technol. 4(04), 80–83 (2015)
Staal, J.J., Abramoff, M.D., Niemeijer, M., Viergever, M.A., Ginneken, B.V.: Ridge based vessel segmentation in color images of the retina. IEEE Trans. Med. Imaging 23, 501–509 (2004)
Hoover, A., Kouznetsova, V., Goldbaum, M.: Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Trans. Med. Imaging 19(3), 203–210 (2000)
Kauppi, T., et al.: DIARETDB0: evaluation database and methodology for diabetic retinopathy algorithms. In: Machine Vision and Pattern Recognition Research Group, vol. 73, pp. 1–17. Lappeenranta University of Technology, Finland (2007)
Kauppi, T., Kalesnykiene, V., Kamarainen, J., et al.: The DIARETDB1 diabetic retinopathy database and evaluation protocol. In: Proceedings of the British Machine Vision Conference (BMVC 2007) Warwick, UK, pp. 1–10 (2007)
MESSIDOR: Methods for Evaluating Segmentation and Indexing technique Dedicated to Retinal Ophthalmology (2004). http://messidor.crihan.fr/index-en.php
Dogra, J., Sood, M., Jain, S., Prashar, N.: Segmentation of magnetic resonance images of brain using thresholding techniques. In: Proceedings of the IEEE International Conference on Signal Processing and Control (ISPCC 2017), pp. 311–315 (2017)
Bhusri, S., Jain, S., Virmani, J.: Breast lesions classification using the amalagation of morphological and texture features. Int. J. Pharma Bio Sci. 7(2), 617–624 (2016)
Sharma, S., Jain, S., Bhusri, S.: Two class classification of breast lesions using statistical and transform domain features. J. Glob. Pharma Technol. 9(7), 18–24 (2017)
Gonzalez, R.C., Woods, R.E.: Digital Image processing, 2nd edn. Prentice-Hall, Englewood Cliffs (2002)
Rajaiah, R.P., Britto, R.J.: Optic disc boundary detection and cup segmentation for prediction of glaucoma. J. Glob. Pharma Technol. 3(10), 2665–2672 (2014)
Swathi, C., Anoop, B.K., et al.: Comparison of different image pre-processing methods used for retinal fundus images. In: IEEE Conference on Emerging Devices and Smart Systems (ICEDSS 2017), pp. 175–179 (2017)
Yadav, S.K., Kumar, S., Kumar, B., Gupta, R.: Comparative analysis of fundus image enhancement in detection of diabetic retinopathy. In: IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp. 1–5 (2016)
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Bhardwaj, C., Jain, S., Sood, M. (2019). Automated Optical Disc Segmentation and Blood Vessel Extraction for Fundus Images Using Ophthalmic Image Processing. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 955. Springer, Singapore. https://doi.org/10.1007/978-981-13-3140-4_17
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