Paper ID: 9386

Identification of Image Edge Using Canny Quantum Edge Detection Algorithm

Dini Sundani1,*, Sigit Widiyanto2, Yuli Karyanti3 & Dini Tri Wardani4

Computer Science Faculty, Gunadarma University

 Margonda Raya 100, Depok, Indonesia





Identification of image edge using edge detection is done to obtain images that have sharp and clear edges. The selection of edge detection algorithms can affect the results of edge detection. The Canny operator has the advantage of detecting edges compared to other edge detection operators, because of its ability not only to detect strong edges but weak edges. Until now, the Canny edge detection is done using classical computing where data is expressed in bits, 0 or 1. This research proposes the identification of image edge using Canny quantum edge detection algorithm, where data is expressed in the form of quantum bits (qubits), not only 0 or 1, but can be a value of 0 and 1 simultaneously so there will be many possible values that can be obtained. There are three stages in this study, namely the input image stage, preprocessing, quantum edge detection. Visually, the results show that Canny quantum edge detection can detect more edges compared to classic Canny  with an average increase of 4.05%. The edge detection results shown in form of GUI applications using Matlab programming.

Keywords: canny; edge; edge detection; image; quantum; qubit.


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