Changeable environment visual detection of grinding surface roughness based on lightweight network-Reference-Cited by-同舟云学术

Changeable environment visual detection of grinding surface roughness based on lightweight network

Published:2024-04-09 Issue: Volume: Page:1-24
ISSN:1058-9759
Container-title:Nondestructive Testing and Evaluation
language:en
Short-container-title:Nondestructive Testing and Evaluation

Author:

Yi Huaian¹²,Wang Hao¹²,Shu Aihua³,Huang Jiefeng¹²

Affiliation:

1. Key Laboratory of Advanced Manufacturing and Automation Technology, Education Department of Guangxi Zhuang Autonomous Region, Guilin University of Technology, Guilin, China

2. School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China

3. School of Foreign Languages, Guilin University of Technology, Guilin, China

Funder

National Natural Science Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2341182

Reference28 articles.

1. Online non-contact surface finish measurement in machining using graph theory-based image analysis

2. An evaluation of surface roughness parameters measurement using vision-based data

3. Nondestructive, fast, and cost-effective image processing method for roughness measurement of randomly rough metallic surfaces

4. Surface roughness classification using image processing

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