An Evaluation Method of Light Strip Center Detection Algorithm Based on Line Structured Light Vision

Paper


Miao, Jianwei, Zhao, Jinghe, Tan, Qingchang, Jiang, Bo, Liu, Siyuan and Taylor, Francis Henry. 2022. "An Evaluation Method of Light Strip Center Detection Algorithm Based on Line Structured Light Vision." 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022). Denver, United States 27 - 30 Jun 2022 Switzerland . Springer. https://doi.org/10.1007/978-3-030-97874-7_9
Paper/Presentation Title

An Evaluation Method of Light Strip Center Detection Algorithm Based on Line Structured Light Vision

Presentation TypePaper
AuthorsMiao, Jianwei, Zhao, Jinghe, Tan, Qingchang, Jiang, Bo, Liu, Siyuan and Taylor, Francis Henry
Journal or Proceedings TitleProceedings of the 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022)
Journal Citation125, pp. 71-79
Number of Pages9
Year2022
PublisherSpringer
Place of PublicationSwitzerland
ISBN9783030978730
9783030978747
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-97874-7_9
Web Address (URL) of Paperhttps://link.springer.com/chapter/10.1007/978-3-030-97874-7_9
Web Address (URL) of Conference Proceedingshttps://link.springer.com/book/10.1007/978-3-030-97874-7
Conference/Event4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022)
Event Details
4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022)
Delivery
In person
Event Date
27 to end of 30 Jun 2022
Event Location
Denver, United States
Abstract

In the online structured light measurement system, the center points of the light stripe are the main information that characterizes the surface topography of the measured object, and the light strip center detection algorithm directly affects the measurement accuracy of the structured light measurement system. This paper analyzes the typical sub-pixel light strip center detection algorithms, and establishes an evaluation method of light strip center detection algorithm for the straight light stripe on the plane. In the experiment, the evaluation method proposed in this paper is used to evaluate the accuracy and robustness of the center of gravity method, the Gauss method and the Steger algorithm.

KeywordsLine structured light vision; Light strip center detection algorithm; Accuracy evaluation method
ANZSRC Field of Research 2020400602. Data communications
SeriesLecture Notes on Data Engineering and Communications Technologies
Byline AffiliationsChangchun Guanghua University, China
Jilin University, China
University of Southern Queensland
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https://research.usq.edu.au/item/z58z9/an-evaluation-method-of-light-strip-center-detection-algorithm-based-on-line-structured-light-vision

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