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Open Access

Adaptive fringe projection method for high dynamic range objects measurement

Yifan LILuhua FUChangku SUNPeng WANG( )
State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072
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Abstract

Grating fringe projection 3D measurement techniques are extensively applied in various fields. However, in high dynamic range scenarios with significant surface reflectivity variations, uneven greyscale distribution may lead to phase errors and poor reconstruction results. To address this problem, an adaptive fringe projection method is introduced. The method involves projecting two sets of dark and light fringes onto the object, enabling the full-field projection intensity map to be generated adaptively based on greyscale analysis. First, dark fringes are projected onto the object to extend exposure time as long as possible without causing overexposure in the image. Subsequently, bright fringes are projected under the same exposure settings to detect overexposed pixels, and the greyscale distribution of these overexposed points from the previous dark fringe projection is analyzed to calculate the corresponding projection intensities. Finally, absolute phase information from orthogonal fringes is used for coordinate matching, enabling the generation of adaptive projection fringe patterns. Experiments on various high dynamic range objects show that compared to conventional fringe projection binocular reconstruction method, the proposed algorithm achieves complete reconstruction of high dynamic range surfaces and shows robust performance against phase calculation errors caused by overexposure and low modulation.

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Journal of Measurement Science and Instrumentation
Pages 350-358

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Cite this article:
LI Y, FU L, SUN C, et al. Adaptive fringe projection method for high dynamic range objects measurement. Journal of Measurement Science and Instrumentation, 2025, 16(3): 350-358. https://doi.org/10.62756/jmsi.1674-8042.2025034

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Received: 25 November 2024
Revised: 27 December 2024
Accepted: 28 February 2025
Published: 01 September 2025
© The Author(s) 2025.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.