A method to estimate pixel intensity in line scan camera-based measurement systems using exposure and lighting control signal characteristics

The operation of machine vision control systems is greatly influenced by the lighting technology used. If the camera exposure signal and the LED pulse train come from different sources, their start times may not align. While matching the frequency of the exposure signal and the lighting control signal can enable full synchronization by adjusting the phase shift, in practice, the camera’s sampling frequency and the lighting controller’s signal frequency may differ, potentially leading to resonance effects and intensity variations in the captured images. To investigate this phenomenon and develop a compensating algorithm for frequency discrepancies, a procedure was devised to estimate the intensity resulting from the overlap of the signal curves.

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Publication Details

Journal
Multidiszciplináris Tudományok
Published
2024-12-04
DOI
https://doi.org/10.35925/j.multi.2024.4.21
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

A method to estimate pixel intensity in line scan camera-based measurement systems using exposure and lighting control signal characteristics

Zsófia Forgács
Multidiszciplináris Tudományok
Industrial Vision Systems and Defect Detection
article

A method to estimate pixel intensity in line scan camera-based measurement systems using exposure and lighting control signal characteristics

Zsófia Forgács
article en

Abstract

The operation of machine vision control systems is greatly influenced by the lighting technology used. If the camera exposure signal and the LED pulse train come from different sources, their start times may not align. While matching the frequency of the exposure signal and the lighting control signal can enable full synchronization by adjusting the phase shift, in practice, the camera’s sampling frequency and the lighting controller’s signal frequency may differ, potentially leading to resonance effects and intensity variations in the captured images. To investigate this phenomenon and develop a compensating algorithm for frequency discrepancies, a procedure was devised to estimate the intensity resulting from the overlap of the signal curves.

Multidiszciplináris TudományokVol. 14(4)
University of Miskolc (HU)
Openalex Percentile: Top 65%
Industrial Vision Systems and Defect Detection
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