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An Overview of Retinal Blood Vessels Segmentation

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Advanced Computer and Communication Engineering Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 362))

Abstract

In the recent past, the application of image processing in the fields of medicine and ophthalmology was widely used. Retina blood vessels are the only part of the human body that can be directly visualized non-invasively in vivo. Retina segmentation is important to help ophthalmologists detect various eyes diseases such as diabetic retinopathy, glaucoma, and age macular degeneration. Consequently, vessel segmentation is an important step in image analysis used to assess retinal abnormality. Vessel segmentation must be completed accurately to obtain good results for further image analysis. This paper reviews the algorithms used in previous studies on retinal vessel segmentation and discusses the problems associated with retina analysis.

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Acknowledgments

This material is based upon work supported by Fundamental Research Grant Scheme (FRGS), under Vote No. R.J130000.7828.4F537 and Ministry of Higher Education (MOHE). Any opinions, findings, and conclusions or recommendations expressed in this material are those from the authors and do not necessarily reflect the views of the Universiti Teknologi Malaysia.

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Correspondence to Habibollah Haron .

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Jusoh, F., Haron, H., Ibrahim, R., Che Azemin, M.Z. (2016). An Overview of Retinal Blood Vessels Segmentation. In: Sulaiman, H., Othman, M., Othman, M., Rahim, Y., Pee, N. (eds) Advanced Computer and Communication Engineering Technology. Lecture Notes in Electrical Engineering, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-319-24584-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-24584-3_6

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