DOI: https://doi.org/10.14710/jtsiskom.2021.14209

Comparative Analysis of PSNR, Histogram and Contrast using Edge Detection Methods for Image Quality Optimization

Edge Detection Analysis using Roberts, Sobel, Prewitt and Canny Methods

1Magister Teknik Informatika, Fakultas Teknologi Industri, Universitas Ahmad Dahlan, Indonesia

2Program Teknik Elektro, Fakultas Teknologi Industri, Universitas Ahmad Dahlan, Indonesia

Received: 4 May 2021; Published: 31 Jan 2022.
Open Access Copyright (c) 2021 Kgs Muhammad Rizky Alditra Utama, Rusydi Umar, Anton Yudhana
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract
Border 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. This study uses the Roberts operator, the Sobel operator, the Prewitt operator, and the Canny operator and make quality comparisons and analyze the four methods. The analysis shows that the calculation of PSNR on the Robetrs method has the highest value with an average of 44.19 dB, Sobel, Prewitt and Canny operators have PSNR values above 30 dB so that it is classified as a good image. Other quality comparisons use the histogram value and the contrass value with the highest value on the Sobel operators with an average histogram value of 22.06. Based on testing, it can be concluded that the Roberts operators have the best image quality.
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Keywords: image; edge detection; PSNR; histogram; contrast

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Section: Original Research Articles
Language : EN
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