The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 27, 2025
Filed:
Dec. 16, 2022
The Institute of Optics and Electronics, the Chinese Academy of Sciences, Sichuan, CN;
Xiangang Luo, Sichuan, CN;
Lixin Zhao, Sichuan, CN;
Yu He, Sichuan, CN;
Yi Li, Sichuan, CN;
Sihan Wu, Sichuan, CN;
Jinhua Feng, Sichuan, CN;
Hongyu Shao, Sichuan, CN;
Shaoyu Zhang, Sichuan, CN;
Abstract
Provided are illumination field non-uniformity detection system, detection method, correction method, and device provided. The system includes displacement control module, controlling displacement platform to drive photodetector and image sensor to move within illumination field; illumination signal acquisition module, controlling the photodetector to collect different response signals at various collecting frequencies within the illumination field and controlling the image sensor to collect response images within the illumination field; data processing module, obtaining, based on different response signals, multiple illumination fields with different light radiation intensities and light intensity distribution considered to be uniform; based on this, obtaining multiple corrected image sensor grayscale matrices; fitting the multiple corrected image sensor grayscale matrices to obtain parameter matrix; and non-uniformity detection module, correcting the response images based on the parameter matrix; and characterizing non-uniformity of light intensity distribution within the illumination field using non-uniform metrics of grayscale distribution of the corrected response images.