Perbandingan Metode Sobel, Prewitt, Robert dan Canny pada Deteksi Tepi Objek Bergerak


Wahyu Supriyatin(1*);

(1) Gunadarma University
(*) Corresponding Author

  

Abstract


Computer vision is one of field of image processing. To be able to recognize a shape, it requires the initial stages in image processing, namely as edge detection. The object used in tracking in computer vision is a moving object (video). Edge detection is used to recognize edges of objects and reduce existing noise. Edge detection algorithms used for this research are using Sobel, Prewitt, Robert and Canny. Tests were carried out on three videos taken from the Matlab library. Testing is done using Simulik Matlab tools. The edge and overlay test results show that the Prewitt algorithm has better edge detection results compared to other algorithms. The Prewitt algorithm produces edges whose level of accuracy is smoother and clearer like the original object. The Canny algorithm failed to produce an edge on the video object. The Sobel and Robert algorithm can detect edges, but it is not clear as Prewitt does, because there are some missing edges.

Keywords


Canny; Edge detection; Prewitt; Robert; Sobel

  
  

Full Text:

PDF
  

Article Metrics

Abstract view: 42 times
PDF view: 15 times
     

Digital Object Identifier

doi  https://doi.org/10.33096/ilkom.v12i2.541.112-120
  

Cite

References


W. Supriyatin, "Analisis Perbandingan Pelacakan Objek Menggunakan Optical Flow Dan Background Estimation Pada Kamera Bergerak," ILKOM Jurnal Ilmiah, vol. 11, no. 3, pp. 191-199, 2019.

T. K. Gautama, A. Hendrik and Riskadewi, "Pengenalan Objek Pada Computer Vision Dengan Pencocokan Fitur Menggunakan Algoritma SIFT Studi Kasus : Deteksi Penyakit Kulit Sederhana," JUTISI Jurnal Teknik Informatika dan Sistem Informasi, vol. 2, no. 3, pp. 437-450, 2016.

R. E. Masithoh, B. Rahardjo, L. Sutiarso and A. Hardjoko, "Pengembangan Computer Vision System Sederhana Untuk Menentukan Kualitas Tomat," AGRITECH, vol. 31, no. 2, pp. 116-123, 2011.

N. F. Ardiansyah, A. Rabi, D. Minggu and W. Dirgantara, "Computer Vision Untuk Pengenalan Objek Peluncuran Roket Kendaraan Tempur," JASIEK, vol. 1, no. 1, pp. 28-37, 2019.

Derisma, "Perbandingan Kinerja Metode Deteksi Tepi Pada Pengenalan Objek Menggunakan OpenCV," Jurnal Informatika Mulawarman, vol. 11, no. 2, pp. 17-21, 2016.

I. D. Kurniawati and A. Kusumawardhani, "Implementasi Algoritma Canny Dalam Pengenalan Wajah Menggunakan Antarmuka GUI Matlab," ResearchGate, Surabaya, 2017.

E. Winarno, "Aplikasi Deteksi Tepi Pada Realtime Video Menggunakan Algoritma Canny Detection," Jurnal Teknologi Informasi DINAMIK, vol. 16, no. 1, pp. 44-49, 2011.

M. Nurullah, "Studi Pembanding Deteksi Tepi (Edge Detection) Citra JPEG Dengan Operator Sobel Dan Operator Canny Menggunakan Software Matlab," Universitas Islam Negeri Syarif Hidayatullah, Jakarta, 2014.

M. Indira, E. Yuliana, W. Supriyatin and Bertalya, "Perbandingan Metode Pendeteksian Tepi Studi Kasus : Citra USG Janin," Seminar Ilmiah Nasional Komputer dan Sistem Intelijen (KOMMIT), pp. 366-373, 2008.

M. N. Cholis and Y. Fuad, "Aplikasi Deteksi Tepi Sobel Untuk Identifikasi Tepi Citra Medis," MATHunesa, vol. 3, no. 2, pp. 15-19, 2014.

Sukatmi, "Perbandingan Deteksi Tepi Citra Digital Dengan Metode Prewitt, Sobel dan Canny," KOPERTIP : Jurnal Ilmiah Manajemen Informatika dan Komputer, vol. 01, no. 01, pp. 1-4, 2017.

Apriyana, D. S. Maharani, P. Shinta and R. Angreni, "Perbandingan Metode Sobel, Metode Prewitt dan Metode Robert Untuk Deteksi Tepi Objek Pada Aplikasi Pengenalan Bentuk Berbasis Citra Digital," http://eprints.mdp.ac.id/, Palembang, 2013.

A. Ramdani, "Analisis Deteksi Gerak Multiple Object Dengan Menggunakan Metode Background Substracttion Dan Metode Deteksi Tepi Sobel," Universitas Islam Negeri Sultan Syarif Kasim, Riau, 2016.

M. Affandes and A. Ramadani, "Deteksi Gerak Banyak Objek Menggunakan Background Substraction Dan Deteksi Tepi Sobel," Seminar Nasional Teknologi dan Rekayasan (SENTRA), vol. V, pp. V.1-V.6, 2017.

D. Indra, "Pendeteksian Tepi Objek Menggunakan Metode Gradien," Jurnal Ilmiah ILKOM, vol. 8, no. 2, pp. 69-75, 2016.

P. A. Setiyono, "Menganalisa Perbandingan Deteksi Tepi Antara Metode Sobel dan Metode Robet," http://eprints.dinus.ac.id/, Semarang, 2015.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Wahyu Supriyatin

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 ILKOM Jurnal Ilmiah indexed by

doaj_logoCROSSREF_logoROAD_logoPKP_Index_logoGoogle_Scholar_logosinta_logogaruda_logoonesearch_logoBASE_logoWordcat_logo

___________________________________________________________
ILKOM Jurnal Ilmiah
ISSN 2548-7779
Published by Teknik Informatika Fakultas Ilmu Komputer Universitas Muslim Indonesia
W : https://fikom.umi.ac.id/
E : jurnal.ilkom@umi.ac.id

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0