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

*E-mail: dinisundani@staff.gunadarma.ac.id

 

 

Abstract

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.


References

Rashmi, Kumar, M., & Saxena, R., Algorithm and Technique On Various Edge Detection; A Survey, Signal & Image Processing: An International Journal (SIPIJ), 4(3), 2013.

Jadwa, S.K., Canny Edge Detection Method for Medical Image, International Journal of Scientific Engineering and Applied Science (IJSEAS), 2, ISSN: 2395-3470, 2016.

Sundani, D., Mutiara, A.B., Juarna, A. & Agushinta, D., Edge Detection Algorithm for Color Image Based On Principle of Quantum Superposition, Journal of Theoretical and Applied Information Technology (JATIT), 76(2), ISSN: 1992-8645, 2015.

Reddy, D.N., Mohan, A.R. & Bhat, S., Canny Edge Detection using Verilog, International Journal of Engineering Sciences & Technology ISSN: 2277-9655, 2014

Gupta, Y.K., A Novel Approach with Various Existing Edge Detection Techniques for Medical Imaging Modalities, Journal of Advanced Computing and Communication Technologies, ISSN: 2347 – 2804, 5(3), 2017

Sulaeman, D., Nugroho, A.S., & Galinium, M., Iris Segmentation using Gradient Magnitude and Fourier Descriptor for Multimodal Biometric Authentication System, J. ICT Res. Appl., Vol.10, No. 3, 209-227, 2016.



Contact Information:

ITB Journal Publisher, LPPM – ITB, 

Center for Research and Community Services (CRCS) Building Floor 7th, 
Jl. Ganesha No. 10 Bandung 40132, Indonesia,

Tel. +62-22-86010080,

Fax.: +62-22-86010051;

e-mail: jictra@lppm.itb.ac.id.