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Research on trichromatic mask for 3D PIV particle image extraction using a single color camera from three views
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Yong ZHANG, Junfei DING*, Yiqun LIU, Xiaoyi LIANG, Haiping TIAN
Journal of Experiments in Fluid Mechanics | 2026, 40(3) : 88 - 99
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Journal of Experiments in Fluid Mechanics | 2026, 40(3): 88-99
Measuring Technique
Research on trichromatic mask for 3D PIV particle image extraction using a single color camera from three views
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Yong ZHANG, Junfei DING*, Yiqun LIU, Xiaoyi LIANG, Haiping TIAN
Affiliations
  • College of Aeronautics and Astronautics, Taiyuan University of Technology, Jinzhong 030600, China
Published: 2026-06-25 doi: 10.11729/syltlx20240012
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The trichromatic mask single-color camera 3D PIV technology uses an optical trichromatic mask element to modulate the imaging light path of a color camera, combining color information with perspective information. This enables the RGB channels of the color-sensitive chip to record images of tracer particles from three perspectives, achieving single-camera 3D flow field measurements. Color cameras typically use a single sensor with a Bayer mask to capture color images. To obtain complete three-channel information of tracer particles, the missing color components in the Bayer image must be restored through demosaicing to extract the three-perspective images. This paper employs High Quality Linear Interpolation (HQLI) algorithms, Gradient Based Threshold Free (GBTF) algorithms, and deep learning algorithms based on U-Net++ neural networks to demosaic particle Bayer images. The quality of three-perspective image extraction by these three algorithms is evaluated using image evaluation metrics and the impact on particle reconstruction quality Q. Simulation experiments on artificially synthesized Gaussian vortex 3D flow fields are conducted to analyze the impact of these algorithms on measurement error. Zero-Net Mass Flux (ZNMF) jet experiments are utilized to study the demosaicing of experimental particle images and analyze the results of transient velocity fields. The results demonstrate that, compared to traditional algorithms (HQLI, GBTF), the deep learning algorithm based on U-Net++ neural networks can more effectively extract three-perspective images of particles, thereby reducing measurement error.

trichromatic mask PIV technique  /  a single-color camera  /  Bayer image demosaicing
Yong ZHANG, Junfei DING, Yiqun LIU, Xiaoyi LIANG, Haiping TIAN. Research on trichromatic mask for 3D PIV particle image extraction using a single color camera from three views[J]. Journal of Experiments in Fluid Mechanics, 2026 , 40 (3) : 88 -99 . DOI: 10.11729/syltlx20240012
Year 2026 volume 40 Issue 3
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doi: 10.11729/syltlx20240012
  • Receive Date:2024-07-01
  • Online Date:2026-09-02
  • Published:2026-06-25
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  • Received:2024-07-01
  • Revised:2024-08-23
  • Accepted:2024-09-05
Affiliations
    College of Aeronautics and Astronautics, Taiyuan University of Technology, Jinzhong 030600, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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