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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Computer Science Dinamisia: Jurnal Pengabdian Kepada Masyarakat Digital Zone: Jurnal Teknologi Informasi dan Komunikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Diklat Review : Jurnal manajemen pendidikan dan pelatihan Zonasi: Jurnal Sistem Informasi Journal of Applied Engineering and Technological Science (JAETS) Jurnal Pengabdian Masyarakat Multidisiplin J-SAKTI (Jurnal Sains Komputer dan Informatika) Mejuajua Indonesian Journal of Computer Science J-COSCIS : Journal of Computer Science Community Service
Fana Wiza, Fana
Universitas Lancang Kuning
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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

 1 
Perbandingan Metode Peningkatan Gambar untuk Skrining Retinopati Diabetik Dafwen Toresa; Fana Wiza; Keumala Anggraini; Taslim Taslim; Edriyansyah; Lisnawita Lisnawita
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 5 (2023): October 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i5.5193

Abstract

The most common factor contributing to visual abnormalities that result in blindness is known as diabetic retinopathy (DR). Retinal fundus scanning, a non-invasive method that is integral to the picture pre-processing phase, can be used to identify and monitor DR. Low intensity, irregular lighting, and inhomogeneous color are some of the main issues with DR fundus photographs. Analysis of aberrant characteristics on retinal fundus images to identify diabetic retinopathy is one of the key responsibilities of image enhancement. However, a variety of approaches have been created and it is unknown whether one is best suited for use with images of the retinal fundus. This study investigated various image enhancement methods in order to see aberrant abnormalities on retinal fundus pictures more clearly. This study investigated various image enhancement methods in order to see aberrant abnormalities on retinal fundus pictures more clearly. The contrast-limited adaptive histogram equalization (CLAHE) method, the gray-level slicing method, the median filtering method, and the low light method are image improvement methods used to enhance images of the retinal fundus. The parameters Natural Image Quality Evaluator (NIQE), Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and entropy will be used to assess each image enhancement technique's performance. An ophthalmologist from Sains University Hospital (HUSM) provided the image data. The findings indicate that while each technique has its own benefits, the CLAHE technique, with a standard deviation MSE of 0.0004, is the best.
Co-Authors Afriansyah Afriansyah Ahmad Ade Irwanda Ahmad Ade Irwanda Ardiya Bayu Febriadi, Bayu Dafwen Toresa Eddissyah Putra Pane Edriyansyah Elvira Asril, Elvira Fajrizal Fajrizal, Fajrizal Hardianto, Roki Heleni Filtri Keumala Anggraini Lisnawita Lisnawita Lucky Lhaura Van FC Lucky Lhaura Van FC, Lucky Lhaura Mariza Devega Pandu Pratama Putra Refliza Yeni Revnu Ohara Roki Hardianto Roki Hardianto Roki Hardianto Susi Handayani Syahtriatna Djusar Taslim Taslim Wenti Sasparita Abiyus Wenti Sasrapita Abiyus Wirdah Choiriah, Wirdah Yeza Febriani Yogi Yunefri, Yogi