A quantum image edge detction algorithm based on LoG operator

doi:10.3969/j.issn.1007-5461.2022.05.004

Abstract

Abstract: Aiming at the problem of real-time image edge extraction, a quantum LoG image edge detection algorithm based on classical Gauss-Laplacian operator (LoG operator) is designed. By simulating the quantum LoG algorithm with Matlab software on a classical computer, it is proved that the quantum LoG algorithm can quickly and eﬀectively realize the recognition and extraction of image edges. In addition, the inﬂuence of two types of decoherence eﬀects on the algorithm is also investigated. The calculation results show that compared with the existing corresponding quantum image edge detection algorithms, the quantum LoG algorithm has better anti-noise characteristics.

Key words: image processing, edge extraction, LoG algorithm, decoherence

CLC Number:

TP751

WU Qiong, MA Lei ∗. A quantum image edge detction algorithm based on LoG operator[J]. Chinese Journal of Quantum Electronics, 2022, 39(5): 720-727.

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