中国矿业大学主页平台系统 luzhaolin--Home-- SEM Image Quality Assessment Based on Intuitive Morphology and Deep Semantic Features

Associate researcher

Supervisor of Master's Candidates

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School/Department:信息与控制工程学院

Business Address:文昌校区信控楼508

Gender:Male

Contact Information:15150010478

Degree:Doctor

Alma Mater:中国矿业大学

Current position: Home > Scientific Research > Paper Publications

SEM Image Quality Assessment Based on Intuitive Morphology and Deep Semantic Features

Release time:2023-09-03 Hits:

DOI number:10.1109/ACCESS.2022.3216388

Funded by:国家自然科学基金项目

First Author:王浩然

Co-author:李世银,丁继存,李甦雁,董良,卢兆林

Indexed by:Journal paper

Document Code:5b5bb29485152eb001856da5296a4dc0

Volume:卷: 10页: 111377-111388

ISSN No.:2169-3536

Translation or Not:no

Date of Publication:2022-01-01