Abstract
Almost 6.5 million people are affected due to glaucoma, diabetics every year in the USA (CDC, Diabetic retinopathy. National for chronic disease prevention and health promotion [Online]. Atlanta, GA [1]). The paper presents a computer-aided blood vessel detection from fundus imaging. This is mainly necessary for premature baby and diabetic patient (Karperien et al. Clin Ophthalmol 2(1):109 [2]). By proper screening of the vessel of patients, the medicine can be modified accordingly. For this case, DRIVE database (Staal et al. IEEE Trans Med Imaging 23(4):501–509 [3]) is chosen. And this detection scheme is fully automated and initially based on top-hat filtering on the input image. Iteratively, region growing and median filtering are applied on the initial segmented output and result in 94.02% accuracy when compared with the ground truth. Diabetic retinopathy analysis and retinal vessel tortuosity in premature infants can be determined using the proposed approach in this paper.
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Ray, A., Chakraborty, A., Roy, D., Sengupta, B., Biswas, M. (2019). Blood Vessel Extraction from Fundus Image. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 814. Springer, Singapore. https://doi.org/10.1007/978-981-13-1501-5_22
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DOI: https://doi.org/10.1007/978-981-13-1501-5_22
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