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All Journal Jurnal Ilmiah Informatika Komputer Jurnal Ilmiah Teknologi dan Rekayasa Prosiding KOMMIT EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Journal of ICT Research and Applications
Dini Sundani
Computer Science Faculty, Gunadarma University, Margonda Raya 100, Depok,
Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Journal : Journal of ICT Research and Applications

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Identification of Image Edge Using Quantum Canny Edge Detection Algorithm Dini Sundani; Sigit Widiyanto; Yuli Karyanti; Dini Tri Wardani
Journal of ICT Research and Applications Vol. 13 No. 2 (2019)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2019.13.2.4

Abstract

Identification of image edges using edge detection is done to obtain images that are sharp and clear. The selection of the edge detection algorithm will affect the result. Canny operators have an advantage compared to other edge detection operators because of their ability to detect not only strong edges but also weak edges. Until now, Canny edge detection has been done using classical computing where data are expressed in bits, 0 or 1. This paper proposes the identification of image edges using a quantum Canny edge detection algorithm, where data are expressed in the form of quantum bits (qubits). Besides 0 or 1, a value can also be 0 and 1 simultaneously so there will be many more possible values that can be obtained. There are three stages in the proposed method, namely the input image stage, the preprocessing stage, and the quantum edge detection stage. Visually, the results show that quantum Canny edge detection can detect more edges compared to classic Canny edge detection, with an average increase of 4.05%.
Co-Authors Andi Shahreza Harahap Dewi Agushinta R. Dini Tri Wardani Noviandri Noviandri Reskia, Silvina Sigit Widiyanto Yuli Karyanti