RETINAL IMAGE EXTRACTION IN BLOOD VESSELS USING BRADLEY THRESHOLD AND MEDIAN FILTER FOR IMAGE ENHANCEMENT IN THE RETINAL FUNDUS

ROHMAN, ABDUL and Erwin, Erwin (2020) RETINAL IMAGE EXTRACTION IN BLOOD VESSELS USING BRADLEY THRESHOLD AND MEDIAN FILTER FOR IMAGE ENHANCEMENT IN THE RETINAL FUNDUS. Undergraduate thesis, Sriwijaya University.

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Abstract

One of the few parts found in the eye that can be used as a reference for detecting a disease suffered by humans is the retina, namely the blood vessels. Retinal artery extraction is the first step to diagnose eye disease, which is diabetic retinopathy which results in blindness. Manual extraction is a long task and requires training, many automated methods have been proposed. In this final project, using Bradley Threshold and Median Filter. In the process of making masks, then through the process of Green, Red, and Blue Channel, then enhanced by using CLAHE, Bradley Threshold as an extraction process and the results are corrected with Median Filter. Using Red Channel produces an accuracy of 97.45, using Green Channel produces an accuracy of 97.62, and Blue Channel produces an accuracy of 97.65 on STARE. Using Red Channel produces 96.55 accuracy, using Green Channel produces 96.75 accuracy, and Blue Channel produces 96.66 accuracy on DRIVE.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Ekstraksi, Pembuluh darah Retina, Bradley Threshold, Median Filter, Peningkatan Citra
Subjects:	R Medicine > RE Ophthalmology > RE986-988 Artificial eyes and other prostheses T Technology > T Technology (General) > T351-385 Mechanical drawing. Engineering graphics > T385 General works
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 6896 not found.
Date Deposited:	06 Aug 2020 02:36
Last Modified:	06 Aug 2020 02:36
URI:	http://repository.unsri.ac.id/id/eprint/32201

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