Comparative Analysis of Image Quality Values on Edge Detection Methods
Identification of object boundaries in a digital image is developing rapidly in line with advances in computer technology for image processing. Edge detection becomes important because humans in recognizing the object of an image will pay attention to the edges contained in the image. Edge detection...
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Ikatan Ahli Indormatika Indonesia
2020-04-01
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Online Access: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/1827 |
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doaj-06e135da2fa147c0abdf6d31f4feb53f2020-11-25T02:59:50ZindIkatan Ahli Indormatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602020-04-014234535110.29207/resti.v4i2.18271827Comparative Analysis of Image Quality Values on Edge Detection MethodsWicaksono Yuli Sulistyo0Imam Riadi1Anton Yudhana2Universitas Ahmad DahlanUniversitas Ahmad DahlanUniversitas Ahmad DahlanIdentification of object boundaries in a digital image is developing rapidly in line with advances in computer technology for image processing. Edge detection becomes important because humans in recognizing the object of an image will pay attention to the edges contained in the image. Edge detection of an image is done because the edge of the object in the image contains very important information, the information obtained can be either size or shape. The edge detection method used in this study is Sobel operator, Prewitt operator, Laplace operator, Laplacian of Gaussian (LoG) operator and Kirsch operator which are compared and analyzed in the five methods. The results of the comparison show that the clear margins are the Sobel, Prewitt and Kirsch operators, with PSNR calculations that produce values above 30 dB. Laplace and LoG operators only have an average PSNR value below 30 dB. Other quality comparisons use the histogram value and the contrast value with the highest value results in the Laplace and LoG operators with an average histogram value of 110 and a contrast value of 24. The lowest histogram and contrast value are owned by the Sobel and Prewitt operators.http://jurnal.iaii.or.id/index.php/RESTI/article/view/1827digital image, edge detection, operator detection |
collection |
DOAJ |
language |
Indonesian |
format |
Article |
sources |
DOAJ |
author |
Wicaksono Yuli Sulistyo Imam Riadi Anton Yudhana |
spellingShingle |
Wicaksono Yuli Sulistyo Imam Riadi Anton Yudhana Comparative Analysis of Image Quality Values on Edge Detection Methods Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) digital image, edge detection, operator detection |
author_facet |
Wicaksono Yuli Sulistyo Imam Riadi Anton Yudhana |
author_sort |
Wicaksono Yuli Sulistyo |
title |
Comparative Analysis of Image Quality Values on Edge Detection Methods |
title_short |
Comparative Analysis of Image Quality Values on Edge Detection Methods |
title_full |
Comparative Analysis of Image Quality Values on Edge Detection Methods |
title_fullStr |
Comparative Analysis of Image Quality Values on Edge Detection Methods |
title_full_unstemmed |
Comparative Analysis of Image Quality Values on Edge Detection Methods |
title_sort |
comparative analysis of image quality values on edge detection methods |
publisher |
Ikatan Ahli Indormatika Indonesia |
series |
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
issn |
2580-0760 |
publishDate |
2020-04-01 |
description |
Identification of object boundaries in a digital image is developing rapidly in line with advances in computer technology for image processing. Edge detection becomes important because humans in recognizing the object of an image will pay attention to the edges contained in the image. Edge detection of an image is done because the edge of the object in the image contains very important information, the information obtained can be either size or shape. The edge detection method used in this study is Sobel operator, Prewitt operator, Laplace operator, Laplacian of Gaussian (LoG) operator and Kirsch operator which are compared and analyzed in the five methods. The results of the comparison show that the clear margins are the Sobel, Prewitt and Kirsch operators, with PSNR calculations that produce values above 30 dB. Laplace and LoG operators only have an average PSNR value below 30 dB. Other quality comparisons use the histogram value and the contrast value with the highest value results in the Laplace and LoG operators with an average histogram value of 110 and a contrast value of 24. The lowest histogram and contrast value are owned by the Sobel and Prewitt operators. |
topic |
digital image, edge detection, operator detection |
url |
http://jurnal.iaii.or.id/index.php/RESTI/article/view/1827 |
work_keys_str_mv |
AT wicaksonoyulisulistyo comparativeanalysisofimagequalityvaluesonedgedetectionmethods AT imamriadi comparativeanalysisofimagequalityvaluesonedgedetectionmethods AT antonyudhana comparativeanalysisofimagequalityvaluesonedgedetectionmethods |
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1724700882300305408 |