English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Quantum Sobel edge detection (QSED) is a kind of algorithm for image edgedetection using quantum mechanism, which can solve the real-time problemencountered by classical algorithms. However, the existing QSED algorithms onlyconsider two- or four-direction Sobel operator, which leads to a certain lossof edge detail information in some high-definition images. In this paper, anovel QSED algorithm based on eight-direction Sobel operator is proposed, whichnot only reduces the loss of edge information, but also simultaneouslycalculates eight directions' gradient values of all pixel in a quantum image.In addition, the concrete quantum circuits, which consist of gradientcalculation, non-maximum suppression, double threshold detection and edgetracking units, are designed in details. For a 2^n x 2^n image with q grayscale, the complexity of our algorithm can be reduced to O(n^2 + q^2), which islower than other existing classical or quantum algorithms. And the simulationexperiment demonstrates that our algorithm can detect more edge information,especially diagonal edges, than the two- and four-direction QSED algorithms.

Quantum image edge detection based on eight-direction Sobel operator for NEQR