Analisa Morfologi Dilasi untuk Perbaikan Kualitas Citra Deteksi Tepi pada Pola Batik Menggunakan Operator Prewitt dan Laplacian of Gaussian

  • Muhammad Abrar Masril Institut Teknologi Batam
  • Refli Noviardi Institut Teknologi Batam
DOI: https://doi.org/10.29207/resti.v4i6.2601
Keywords: Prewitt Operator, Laplacian of Gaussian Operator, Morphological Dilation

Abstract

The results of the edge detection process using several operators are not yet optimal. Therefore we need a method to improve the quality of edge detection images, the method used in this study is morphology dilation. The results of testing the improvement of image quality using 10 batik patterns, resulting in an accuracy level on Laplacian of Gaussian operators is 80% and for Prewitt operators is 60%. In the process of improving the edge detection quality, Morphology Dilation can connect broken edges using structuring elements. therefore it can improve the quality of edge images.

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Published
2020-12-24
How to Cite
Masril, M. A., & Noviardi, R. (2020). Analisa Morfologi Dilasi untuk Perbaikan Kualitas Citra Deteksi Tepi pada Pola Batik Menggunakan Operator Prewitt dan Laplacian of Gaussian. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 4(6), 1052 -. https://doi.org/10.29207/resti.v4i6.2601
Issue
Vol 4 No 6 (2020): Desember 2020
Section
Artikel Teknologi Informasi

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