Publikasi Dosen

Segmentasi Citra Pembuluh Darah Retina Menggunakan Operasi Morfologi Iteratif

Abstract

Retinal vessel segmentation is part of the morphological extraction of retinal blood vessels that plays an essential role in medical image processing. Manual segmentation is possible to do, but it is time-consuming and requires special operators. Moreover, the possibility of variability between operators is vast. This study aims to answer the shortcomings of the manual segmentation process by automatically segmenting retinal blood vessels. The main contribution of this study is the use of a simple method to iteratively segment retinal blood vessels. All processes in the segmentation are simulated using Matlab. The algorithm was evaluated by comparing the results of the automatic segmentation with 20 manually segmented images from the STARE dataset. The result show specificity 98.13%, accuracy 93.60%, sensitivity 56.42%, precision 80.48%, and the dice coefficient 64.06%. In conclusion, the automatic retinal blood vessel image segmentation process worked well.

Ketersediaan

Informasi Detail

Judul Seri

-

No. Panggil

001

Penerbit

- : journal.unnes.ac.id., 2021

Deskripsi Fisik

-

Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

001

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

2021

Subjek

retinal segmentation
medical image processing
iteration process

Info Detail Spesifik

Jurnal Teknik Elektro(JTE); Vol 13, No 1 (2021) ; List Penulis : Vita Nurdinawati ke-1, Atika Hendryani ke-2, Thareq Barasabha ke-3; url : https://journal.unnes.ac.id/nju/index.php/jte/article/view/29747;p-ISSN 1411-0059 | e-ISSN 2549-1571; JTE has been accredited (SINTA 2) by Directorate General of Research Empowering and Developments, Ministry of Research, Technology and Higher Education through SK 36/E/KPT/2019 for the period of 2019-2023.

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