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

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Cyber Security Intelligence and Analytics (CSIA 2022)

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.

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Correspondence to Qingchang Tan .

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Miao, J., Zhao, J., Tan, Q., Jiang, B., Liu, S., Taylor, F.H. (2022). An Evaluation Method of Light Strip Center Detection Algorithm Based on Line Structured Light Vision. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-030-97874-7_9

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