Evidence map›Paper›PMID 36679475›Full record

ArticleSensors (Basel, Switzerland)2023

High-Accuracy Three-Dimensional Deformation Measurement System Based on Fringe Projection and Speckle Correlation.

Chuang Zhang, Cong Liu, Zhihong Xu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chuang ZhangSchool of Science, Nanjing University of Science and Technology, Nanjing 210094, China.
Cong LiuSchool of Science, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0000-0001-6859-4173
Zhihong XuSchool of Science, Nanjing University of Science and Technology, Nanjing 210094, China.

Funding

National Natural Science Foundation of China 11802132the China Postdoctoral Science Founda-297 tion 2020M671493 and 2019M652433the Jiangsu Planned Projects for Postdoctoral Re-298 search Funds, and the Natural Science Foundation of Shangdong Province ZR2018BF001the Natural Science 296 Foundation of Jiangsu Province BK20180446
6 · The paper itself

Abstract

Fringe projection profilometry (FPP) and digital image correlation (DIC) are widely applied in three-dimensional (3D) measurements. The combination of DIC and FPP can effectively overcome their respective shortcomings. However, the speckle on the surface of an object seriously affects the quality and modulation of fringe images captured by cameras, which will lead to non-negligible errors in the measurement results. In this paper, we propose a fringe image extraction method based on deep learning technology, which transforms speckle-embedded fringe images into speckle-free fringe images. The principle of the proposed method, 3D coordinate calculation, and deformation measurements are introduced. Compared with the traditional 3D-DIC method, the experimental results show that this method is effective and precise.

Indexed as

Technologydigital image correlationfringe and speckle separationfringe projection profilometryhigh accuracyneural network

Identifiers

PMID36679475
PMCPMC9866896

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.