4Robust Segmentation Algorithms for Retinal Blood Vessels, Optic Disc, and Optic Cup of Retinal Images in Medical Imaging
Birendra Biswal1*, Raveendra T.2, Dwiti Krishna Bebarta3, Geetha Pavani P.1 and P.K. Biswal4
1Centre for Medical Imaging Studies, Department of ECE, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India
2Department of CQI & Research, Sankar Foundation Eye Hospital, Visakhapatnam, India
3Department of CSE, Gayatri Vidya Parishad College of Engineering for Women, Visakhapatnam, India
4Department of ETE, International Institute of Information Technology, Bhubaneswar, India
Abstract
Image segmentation is one of the important digital image processing techniques that extracts useful information to analyses the images obtained various fields. In healthcare, the medical images are employed to develop an intelligent system by establishing a relationship between digital images and clinical information of a patient. Several eye-related problems can be diagnosed in their preliminary stage by observing the changes in retinal blood vessels and Optic Disc & Optic Cup of human eyes. Accurate detection of these retinal changes is highly impractical for the doctor with numerous patients in society. In addition to this, it is a time consuming and erroneous process. To circumvent these problems, researchers proposed several efficient and robust models to segment these retinal vessels, OD, & OC and analyze them accordingly. In this chapter, several robust segmentation ...
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