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All Journal Jurnal Informatika Telematika Jurnal Informatika dan Teknik Elektro Terapan InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Informatika Pertanian Jurnal SOLMA JTAM (Jurnal Teori dan Aplikasi Matematika) Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Sains Riset G-Tech : Jurnal Teknologi Terapan Medika Teknika : Jurnal Teknik Elektromedik Indonesia Idealis : Indonesia Journal Information System International Journal of Engineering, Science and Information Technology TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Terapan and Sains 4.0
Nurdin Nurdin
Universitas Malikussaleh
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Jurnal Informatika dan Teknik Elektro Terapan

 1 
IMPLEMENTASI METODE DETEKSI TEPI CANNY UNTUK MENGHITUNG JUMLAH UANG KOIN DALAM GAMBAR MENGGUNAKAN OPENCV Julia Ulfah; Nurdin Nurdin
Jurnal Informatika dan Teknik Elektro Terapan Vol 11, No 3 (2023)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v11i3.3147

Abstract

Edge detection is often used in image processing to find the edge boundaries of image objects and this is important for selecting the edges of image parts. The image edge detection used in this study counts coins in an image, so that it can easily pass through the human eye but not by a computer. In a computer system, it is necessary to provide programs and test data so that the computer can read and count coins like a human. The purpose of this study is to count coins in an image using Canny edge detection and Gaussian filtering methods. The images used in this study are in the form of *jpg and tested using the Visual Studio Code application using OpenCV and Python. The results of this study indicate that the results of the number of coins read from the images inputted to the system can be read properly, with a data accuracy of 90%. Canny's edge detection method can be used to count the number of coins in an image.Keywords: Pengolahan Citra; Deteksi tepi Canny; Gaussian filtering; OpenCV;
Co-Authors - Miranda ., Muthmainah Agami Iqbal Ama Zanati Amin Munthoha Ananda Faridhatul Ulva Aryandi Aryandi bhakti wan khaledy Bustami Bustami Bustami Bustami Chicha Rizka Gunawan Chichi Rizka Gunawan Cindy Cika Pradita Cut Jora Sari Dadang Priyanto Dahlan Abdullah Defry Hamdhana Dewi Astika Erni Susanti Fadlisyah Fadlisyah Fadlisyah Fadlisyah Fadlisyah Fahrozi, Fazar Fajriana Fajriana Fajriana, Fajriana Hafizh Al-Kautsar Aidilof Hafizh Al-Kautsar Aidilof Intan Nuriani Ismun Naufal Julia Ulfah Khairuni Khairuni M Farhan Aulia Barus M Rizwan M Suhendri Marleni Marleni Maryana Maryana Maryana Maryana Maya Maulita Muhammad Faisal Muhammad Hutomi Muhammad Iqbal Muhammad Johan Setiawan Muhammad Riansyah Mukti Qamal Mutammimul Ula Muzakir Nur Nadilla Baimal Puteri Riza Mirza Rizal S.Si., M.IT, Rizal Rizki Setiawan Rizky Putra Fhonna Safriana Safriana Suci Fitriani Suhaili Sahibul Muna Syandriani Harahap Taufik Taufik Taufiq Taufiq Taufiq Taufiq Taufiq Taufiq Taufiq Taufiq Uci Mutiara Putri Nasution Ulva Fitriani Yeni Yeni Yesy Afrilia Yulisda, Desvina Zahratul Fitri Zara Yunizar