An Automatic Calibration Method for the Field of View Aberration in a Risley-Prism-Based Image Sensor.

Zhonglin Lin, Wenchao Liu, Jinyu Gan, Jilian Lu, Feng Huang, Xianyu Wu, Weixiong Wang

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Zhonglin LinSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.ORCID 0000-0003-2462-6721

Wenchao LiuSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.ORCID 0000-0001-7971-0336

Jinyu GanSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.

Jilian LuSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.

Feng HuangSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.

Xianyu WuSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.ORCID 0000-0001-6005-7058

Weixiong WangSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.

Funding

Funding of the 2020 Fujian Province Young and Middle-aged Teacher Education Research Project (Technology) JAT200030Funding of the Crosswise Project of 'Research on the Air Pressure Simulation System Design of Aero-engine Surge' 2021011902Funding of the Fuzhou University Research Start-up Funding GXRC-20051Funding of the Natural Science Foundation of Fujian Province of China 2021J05113

6 · The paper itself

Abstract

Risley-prism-based image sensors can expand the imaging field of view through beam control. The larger the top angle of the prism, the higher the magnification of the field of view, but at the same time, it aggravates the problem of imaging aberrations, which also puts higher requirements on the aberration correction method for the Risley-prism-based image sensor. To improve the speed, accuracy, and stability of the aberration correction process, an automatic calibration method for the Risley-prism-based image sensor is proposed based on a two-axis turntable. The image datasets of the calibration plate with different prism rotation angles and object distances are acquired using a two-axis turntable. Then, the images of the calibration plate are pre-processed using the bicubic interpolation algorithm. The calibration parameters are finally calculated, and parameter optimization is performed. The experimental results verify the feasibility of this automated calibration method. The reprojection error of the calibration is within 0.26 pixels when the distance of the imaging sensor is 3.6 m from the object, and the fine aberration correction results are observed.

Indexed as

aberration correctionautomatic calibrationfield of viewrisley prisms

Identifiers

PMID37765834

DOI10.3390/s23187777

PMCPMC10537131

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