Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Adaptive position calibration technique for an optical micro-scanning thermal microscope imaging system

Zhang, BoZhi, Gao, Meijing, Rosin, Paul L., Sun, Xianfang, Chang, QiuYue, Peng, ChunYang, Yan, QiChong, Chen, Pan and Shang, Yucheng 2020. Adaptive position calibration technique for an optical micro-scanning thermal microscope imaging system. Infrared Physics and Technology 105 , 103186. 10.1016/j.infrared.2020.103186
Item availability restricted.

[img] PDF - Accepted Post-Print Version
Restricted to Repository staff only until 8 January 2021 due to copyright restrictions.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (687kB)


In order to improve the spatial resolution of an optical micro-scanning thermal microscope system, the micro-scanning position must be accurately calibrated. An adaptive calibration method based on image registration and plane coordinate system is proposed. The meaning of calibration is given, and the principle and method of point calibration are introduced in detail and experiments using the real system were done. Different reconstruction methods were applied to reconstruct the visible light image and the real thermal microscope image, and the evaluation scores are given. Results of simulation and real thermal imaging processing show that the method can successfully calibrate the micro-scanning position. The method can significantly improve the oversampled reconstructed image quality, thus enhancing the spatial resolution of the system. This method can also be used in other electro-optical imaging systems.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: Elsevier
ISSN: 1350-4495
Date of First Compliant Deposit: 2 April 2020
Date of Acceptance: 6 January 2020
Last Modified: 16 Oct 2020 01:50

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics