电镜图像的量子衍生协同式边缘滤波

doi:10.3969/j.issn.1000-1158.2022.08.09

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Abstract According to characteristics of the coronavirus electron microscope image and the comprehensive processing requirements of contour extraction, target detection and noise suppression, the quantum-inspired edge filtering mechanism and collaborative strategy are studied.Starting from double qubit state representation of pixel and quantum measurement result inspection, the framework and implementation route of quantum-inspired collaborative edge filtering are constructed, combined with force field transform and quantum-inspired median filtering.The collaborative strategies and fusion effects in the edge filtering framework are analyzed experimentally, and the effectiveness of quantum measurement result inspection methods is verified comparatively.The experimental results show that electron microscope images of coronavirus have improved the quality conditions for morphological analysis after being processed by quantum-inspired collaborative edge filtering.

Key words： metrology electron microscore images quantum-inspired collaborative edge filtering double qubit state representation quantum measurement median filtering algorithm force field transform

Received: 19 October 2021 Published: 20 August 2022

PACS:	TB96
	TB99

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	CUI Fa-yi

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CUI Fa-yi. Quantum-inspired Collaborative Edge Filtering of Electron Microscope Images[J]. Acta Metrologica Sinica, 2022, 43(8): 1027-1035.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2022.08.09 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2022/V43/I8/1027

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