Uncertainty in Measurement Camera Calibration
Kujala, Tommi (2024)
2024
Teknis-luonnontieteellinen DI-ohjelma - Master's Programme in Science and Engineering
Tekniikan ja luonnontieteiden tiedekunta - Faculty of Engineering and Natural Sciences
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Hyväksymispäivämäärä
2024-10-08
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202409138714
https://urn.fi/URN:NBN:fi:tuni-202409138714
Tiivistelmä
Cameras provide immense accuracy and flexibility potential for a wide field of measurement projects. Timely calibrations are performed to ensure the needed specifications, and strict methods and standards are required to oversee and observe the projects for further improvement. Therefore, metrology and standardization organizations are essential, in addition to the knowledge and experience of the measurement operator.
The aim of this thesis was to produce a guide-like text on the proceedings of general measurement uncertainty analysis, following a universal standard. This was then applied to study the uncertainty in the calibrations carried out on the OptoEye, which is a highly accurate measurement camera with optical properties similar to the human eye.
The uncertainty sources, expected values and their distributions were estimated for each calibration with different kinds of repeat measurements, from producer specifications or by educated assumptions, depending on the case. The Monte Carlo method was used as the golden standard to portray the results of the uncertainty analysis.
The outcome of the thesis is a systematic procedure to estimate the uncertainty of the different calibrations. It provides the guide-like structure, the general theory on the causes of decreased image quality, comprehensive and extensive measurements, and a realized system of data-analysis with the Monte Carlo method.
The aim of this thesis was to produce a guide-like text on the proceedings of general measurement uncertainty analysis, following a universal standard. This was then applied to study the uncertainty in the calibrations carried out on the OptoEye, which is a highly accurate measurement camera with optical properties similar to the human eye.
The uncertainty sources, expected values and their distributions were estimated for each calibration with different kinds of repeat measurements, from producer specifications or by educated assumptions, depending on the case. The Monte Carlo method was used as the golden standard to portray the results of the uncertainty analysis.
The outcome of the thesis is a systematic procedure to estimate the uncertainty of the different calibrations. It provides the guide-like structure, the general theory on the causes of decreased image quality, comprehensive and extensive measurements, and a realized system of data-analysis with the Monte Carlo method.