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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Inovasi Teknik Informatika Jurnal Abdimas ADPI Sains dan Teknologi Jurnal Ipteks Terapan : research of applied science and education Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Komtekinfo Jurnal Teknologi
Dhio Saputra
Universitas Putra Indonesia YPTK Padang
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Mengidentifikasi Kanker Ginjal Menggunakan Metode Robert, Canny, dan Sobel Dhio Saputra; Sumijan
Jurnal Teknologi Vol. 12 No. 2 (2022): Jurnal Teknologi
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (299.332 KB) | DOI: 10.35134/jitekin.v12i2.69

Abstract

Kidneys are organs that function to filter metabolic waste in the blood and dispose of them in the form of urine. One of kidney disease is kidney cancer. Kidney cancer occurs due to gene mutations in kidney cells that cause kidney cells to grow abnormally and uncontrollably. To take an image of kidney cancer using a Magnetic Resonance Imaging (MRI) tool. The purpose of this research is to identify and recognize the pattern object of kidney cancer in the MRI image. To identify kidney cancer images, it begins with collecting image data, image processing, image edge detection, image thinning, and identification processes. Edge detection is used to detect the boundaries of objects in the image. The method used in this research is the Canny and Sobel method. The number of images taken were 23 images of kidney cancer samples. The results of this research show that the Canny method gives better image results than the Sobel image results
Co-Authors Abulwafa Muhammad Abulwafa Muhammmad Dodi Guswandi Irzal Arief Wisky Muhammad Afdhal Muhammad, Abulwafa Musli Yanto Rahmat Rima Liana Gema Sumijan Syafrika Deni Rizki Wifra Nazri Wifra Safitri Wifra Safitri Wifra Safitri