Title

A grinding surface roughness class recognition combining red and green information

Journal title

Metrology and Measurement Systems

Yearbook

2023

Volume

vol. 30

Issue

No 4

Affiliation

Huang, Jiefeng : Key Laboratory of Advanced Manufacturing and Automation Technology (Guilin University of Technology), Guilin, China, 541006 ; Yi, Huaian : Key Laboratory of Advanced Manufacturing and Automation Technology (Guilin University of Technology), Guilin, China, 541006 ; Fang, Runji : Key Laboratory of Advanced Manufacturing and Automation Technology (Guilin University of Technology), Guilin, China, 541006 ; Song, Kun : Key Laboratory of Advanced Manufacturing and Automation Technology (Guilin University of Technology), Guilin, China, 541006 ; Huang, Jiefeng : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China, 541006 ; Yi, Huaian : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China, 541006 ; Fang, Runji : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China, 541006 ; Song, Kun : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China, 541006

Authors

Huang, Jiefeng ; Yi, Huaian ; Fang, Runji ; Song, Kun

Keywords

roughness measurement ; convolutional neural network ; red and green information

Divisions of PAS

Nauki Techniczne

Coverage

689-702

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

19.11.2023

Type

Article

Identifier

DOI: 10.24425/mms.2023.147959