1Master Program of Information Technology, Faculty of Industrial Technology, Universitas, Universitas Ahmad Dahlan. Jl. Ringroad Selatan, Kragilan, Tamanan, Kec. Banguntapan, Bantul, Daerah Istimewa Yogyakarta 55191, Indonesia
2Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad Dahlan. Jl. Ringroad Selatan, Kragilan, Tamanan, Kec. Banguntapan, Bantul, Daerah Istimewa Yogyakarta 55191, Indonesia
BibTex Citation Data :
@article{JTSISKOM14209, author = {Kgs Muhammad Rizky Alditra Utama and Rusydi Umar and Anton Yudhana}, title = {Edge detection comparative analysis using Roberts, Sobel, Prewitt, and Canny methods}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {10}, number = {2}, year = {2022}, keywords = {edge detection comparison; roberts; sobel; prewitt; canny}, abstract = {Edge identification in a digital image is overgrowing in line with advances in computer technology for image processing. Edge detection becomes vital in recognizing the object of an image because the edge of the object in the image contains critical information. The information obtained can be either the size or shape of the object in the image, so the edge quality must be good so that the information contained in it is not lost. This study uses edge detection with the Roberts, Sobel, Prewitt, and Canny methods. The assessment method uses visual analysis, PSNR, Histogram, and Contrast. The study shows that the calculation of PSNR on the Roberts method has the highest value, with an average of 44.19 dB. Sobel, Prewitt, and Canny operators have PSNR values above 30 dB to classify it as a good image. The histogram value with the highest value is the Sobel operator, with an average histogram value of 22.06. In contrast, the highest contrast value is the Canny operator has an average contrast value of 5.08. The Roberts and Canny operators have the best image quality.}, issn = {2338-0403}, pages = {67--71} doi = {10.14710/jtsiskom.2021.14209}, url = {https://jtsiskom.undip.ac.id/article/view/14209} }
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