3D surface reconstruction of small height object based on thin structured light scanning

Liu, Jinghui; Wang, Yuezong

doi:10.1016/j.micron.2021.103022

Cited by 16 publications

(9 citation statements)

References 24 publications

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“…The combination of the triangulation principle and the fringe-patterned structured light has been another commonly used technique. Fringe-patterned structured light was be generated by laser projector (Liu & Wang, 2021), DMD projection equipment (Yin et al, 2015), etc., and the corresponding height distribution in the fringe area was obtained based on the triangulation principle. This can change the deformation of the stripe in the image by adjusting the angle between the optical axis of the projection system and the optical axis of the image-capturing system, so as to adjust the distance resolution in the vertical direction to meet the requirements for different height measurements.…”

Section: Resultsmentioning

confidence: 99%

“…The height range that can be measured using this method can range from tens to hundreds of microns. For example, in previous studies, the reconstructed samples have included characters on coins (Yin et al, 2015; Liu & Wang, 2021), the depth of scale lines of a steel ruler, the diameter of hair, etc. (Liu & Wang, 2021).…”

Section: Resultsmentioning

confidence: 99%

“…For example, in previous studies, the reconstructed samples have included characters on coins (Yin et al, 2015; Liu & Wang, 2021), the depth of scale lines of a steel ruler, the diameter of hair, etc. (Liu & Wang, 2021). These samples have heights between tens and hundreds of microns.…”

Section: Resultsmentioning

confidence: 99%

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Surface Reconstruction of Microscale Objects Based on Grid-Patterned Structured-Light Measurements

2021

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A structured-light projection system was designed for microscale objects with surface heights that ranged from tens to hundreds of microns. The system was composed of a universal projector and microscope system that supported editing the attributes of structured-light patterns in real-time and was capable of projecting microscale patterns. On this basis, reconstructing the metal surfaces of microscale objects based on grid patterns of structured light was investigated, the internal and external parameters of microscope vision and projection systems were calibrated, and an image algorithm for grid-node detection was designed. The results indicated that the proposed method successfully reconstructed the three-dimensional (3D) surface of microscale objects, and the reconstruction results were consistent with the original surfaces. With 95% confidence, the reconstruction precision in the X- and Y-directions was approximately ±4.0 μm and in the Z-direction was approximately ±7.5 μm. The designed system and the proposed method were suitable for 3D-shape measurement of microstructures in microscopic fields and can be adapted to meet a broader range of applications, as compared to current methods.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Surface Reconstruction of Microscale Objects Based on Grid-Patterned Structured-Light Measurements

2021

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“…It can make the fringe produce and maintain an obvious deformation, and effectively improve the stability and accuracy of height measurement. In addition, the stripe in microscopic image is more vulnerable to the diffuse reflection of surface roughness, resulting in a large number of burrs at the edges (Liu & Wang, 2021). And the thin light stripe can make the detection of the red paint on the steel surface, and the reflection to blue light is small.…”

Section: Discussionmentioning

confidence: 99%

Design of thin‐structured‐light projection system for small‐height measurement

Wang

Chen

Peng

et al. 2021

Microscopy Res & Technique

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A thin‐structured light projection system with simple setup is proposed and applied to small‐height measurement. In this system, the design of structured light pattern is carried out on the computer. The structure, color, geometric dimension, motion mode, projection brightness, contrast, and other attributes of the pattern can be edited easily. The optical system with zoom function is designed, which can output thin‐structured‐light fringe with a minimum width of 10 μm. The camera and microscope are used to construct a vision system, which is used to capture the pattern of structured light. The three‐dimensional (3D) shape reconstruction is realized by analyzing the pattern of structured light. The results show that this system can project a small width of thin‐structured light pattern, which is very suitable for 3D shape reconstruction of microscopic objects with the small‐height of tens of microns to hundreds of microns.

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“… Le et al (2019) proposed a method to observe the wheat grains filling based on X-ray μCT imaging technique, while the ventral sulcus was also measured to describe the wheat grain development. Since the wheat grain size was distributed in 6–10 mm and the ventral sulcus was in sub-millimeter ( Sun et al, 2007 ), the spatial resolution of 3D imaging should reach the micron level, and both the techniques could meet the demand ( Strange et al, 2015 ; Liu and Wang, 2021 ). However, compared with CT 3D reconstruction, structured light imaging had the advantages of lower cost and high acquisition efficiency.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Analysis Method for 3D Wheat Grain and Ventral Sulcus Traits Based on Structured Light Imaging

et al. 2022

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The wheat grain three-dimensional (3D) phenotypic characters are of great significance for final yield and variety breeding, and the ventral sulcus traits are the important factors to the wheat flour yield. The wheat grain trait measurements are necessary; however, the traditional measurement method is still manual, which is inefficient, subjective, and labor intensive; moreover, the ventral sulcus traits can only be obtained by destructive measurement. In this paper, an intelligent analysis method based on the structured light imaging has been proposed to extract the 3D wheat grain phenotypes and ventral sulcus traits. First, the 3D point cloud data of wheat grain were obtained by the structured light scanner, and then, the specified point cloud processing algorithms including single grain segmentation and ventral sulcus location have been designed; finally, 28 wheat grain 3D phenotypic characters and 4 ventral sulcus traits have been extracted. To evaluate the best experimental conditions, three-level orthogonal experiments, which include rotation angle, scanning angle, and stage color factors, were carried out on 125 grains of 5 wheat varieties, and the results demonstrated that optimum conditions of rotation angle, scanning angle, and stage color were 30°, 37°, black color individually. Additionally, the results also proved that the mean absolute percentage errors (MAPEs) of wheat grain length, width, thickness, and ventral sulcus depth were 1.83, 1.86, 2.19, and 4.81%. Moreover, the 500 wheat grains of five varieties were used to construct and validate the wheat grain weight model by 32 phenotypic traits, and the cross-validation results showed that the R2 of the models ranged from 0.77 to 0.83. Finally, the wheat grain phenotype extraction and grain weight prediction were integrated into the specialized software. Therefore, this method was demonstrated to be an efficient and effective way for wheat breeding research.

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3D surface reconstruction of small height object based on thin structured light scanning

Cited by 16 publications

References 24 publications

Surface Reconstruction of Microscale Objects Based on Grid-Patterned Structured-Light Measurements

Surface Reconstruction of Microscale Objects Based on Grid-Patterned Structured-Light Measurements

Design of thin‐structured‐light projection system for small‐height measurement

An Intelligent Analysis Method for 3D Wheat Grain and Ventral Sulcus Traits Based on Structured Light Imaging

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