The determination of the line of interest in a line scan camera-based measurement system

Abstract Line scan cameras have found wide applications across various industrial sectors, serving as a valuable tool for inspecting products on conveyor belts and ensuring the quality of bulk materials. At the University of Miskolc, a system using a line scan camera was deployed to measure the rotational speed of high-speed rotating parts. This measurement process has already proven its effectiveness. The success of the measurement heavily depends on the system's ability to identify suitable measurement points within the image. This paper demonstrates the process of selecting these measurement points, the line of interest, in a dynamic setting through the application of a statistical image analysis approach.

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Publication Details

Journal
Pollack Periodica
Published
2024-11-07
DOI
https://doi.org/10.1556/606.2024.01187
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
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article

The determination of the line of interest in a line scan camera-based measurement system

Zsófia Forgács, Attila Trohák
Pollack Periodica
Advanced Measurement and Detection Methods
article

The determination of the line of interest in a line scan camera-based measurement system

Zsófia Forgács, Attila Trohák
article en

Abstract

Abstract Line scan cameras have found wide applications across various industrial sectors, serving as a valuable tool for inspecting products on conveyor belts and ensuring the quality of bulk materials. At the University of Miskolc, a system using a line scan camera was deployed to measure the rotational speed of high-speed rotating parts. This measurement process has already proven its effectiveness. The success of the measurement heavily depends on the system's ability to identify suitable measurement points within the image. This paper demonstrates the process of selecting these measurement points, the line of interest, in a dynamic setting through the application of a statistical image analysis approach.

Pollack PeriodicaVol. 20(2)
University of Miskolc (HU)
Industry, innovation and infrastructure
Openalex Percentile: Top 82%
Advanced Measurement and Detection Methods
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