COMPARISON OF EDGE DETECTION METHODS USING ROBERTS AND LAPLACIAN OPERATORS ON MANGO LEAF OBJECTS

  • Dedi Darwis Accounting Information System Department, Faculty of Engineering and Computer Science, Teknokrat Indonesia University, Indonesia
  • Yusra Fernando Informatic Department, Faculty of Engineering and Computer Science, Teknokrat Indonesia University, Indonesia
  • Fika Trisnawati Computer Engineering Department, Faculty of Engineering and Computer Science, Teknokrat Indonesia University, Indonesia
  • Dwiki Hafizh Marzuki Informatic Department, Faculty of Engineering and Computer Science, Teknokrat Indonesia University, Indonesia
  • Setiawansyah Setiawansyah Informatic Department, Faculty of Engineering and Computer Science, Teknokrat Indonesia University, Indonesia
DOI: https://doi.org/10.30598/barekengvol17iss3pp1815-1824
Keywords: Edge detection, Laplacian, Roberts

Abstract

Edge detection is a technique to find the outlines of an object in an image by detecting significant changes in brightness or discontinuities. This study discusses the comparison of edge detection using Roberts operators and Laplacian operators. The object used in edge detection is four types of mango leaves (Golek, Arum Manis, Madu, and Kuweni) with the *.jpeg format that has been pre-processed with 1000 x 278 pixels. The test used in this study compared the results of White Pixel values, MSE, and PSNR with test data as many as 24 data samples from four types of mango leaves. The results of the comparison of edge detection methods using the Laplacian operator get the lowest MSE value of 7.8577, the highest PSNR value of 39.2119, and the white pixel value of 164951, while the Roberts operator gets the lowest MSE value of 8.9723, the highest PSNR value of 38.6358, and the white pixel value of 155889.

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Published
2023-09-30
How to Cite
[1]
D. Darwis, Y. Fernando, F. Trisnawati, D. Marzuki, and S. Setiawansyah, “COMPARISON OF EDGE DETECTION METHODS USING ROBERTS AND LAPLACIAN OPERATORS ON MANGO LEAF OBJECTS”, BAREKENG: J. Math. & App., vol. 17, no. 3, pp. 1815-1824, Sep. 2023.
Issue
Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Section
Articles

Copyright (c) 2023 Dedi Darwis, Yusra Fernando, Fika Trisnawati, Dwiki Hafizh Marzuki, Setiawansyah Setiawansyah

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