Reflection Coefficient Estimation of Femtosecond Laser Surface Processing Using Support Vector Regression

Reflection Coefficient Estimation of Femtosecond Laser Surface Processing Using Support Vector Regression

An image analysis-based Reflection Coefficient (RC) estimation method of femtosecond laser surface processing for the blackening of X-ray imaging sensor shell is proposed. The Support Vector Regression (SVR) is used for RC computation and both an offline and an online steps are considered in this me...

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Bibliographic Details
Main Authors: Haoting Liu, Jianyue Ge, Shaohua Yang, Ling Zhang, Yafei Xue, Jinhui Lan
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Photonics Journal
Subjects:
Femtosecond laser
reflectance coefficient
image feature
machine learning
surface treatment
Online Access:https://ieeexplore.ieee.org/document/9918074/

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