Evidence map›Paper›PMID 35336252›Full record

ArticleSensors (Basel, Switzerland)2022

High Precision Visual Dimension Measurement Method with Large Range Based on Multi-Prism and M-Array Coding.

Xiao Zhou, Cong Zhou, Tingting Zhang, Xingang Mou, Jiaxin Xu, Yi He

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 47% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Xiao ZhouSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.ORCID 0000-0002-3591-0982
Cong ZhouSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.ORCID 0000-0001-7398-2154
Tingting ZhangSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Xingang MouSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Jiaxin XuSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Yi HeIntelligent Transport Systems Research Center, Wuhan University of Technology, Wuhan 430063, China.
Wuhan University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The visual dimension measurement method based on non-splicing single lens has the contradiction between accuracy and range of measurement, which cannot be considered simultaneously. In this paper, a multi-camera cooperative measurement method without mechanical motion is proposed for the dimension measurement of thin slice workpiece. After the calibration of the multi-camera imaging system is achieved through a simple and efficient scheme, the high-precision dimension measurement with a large field of view can be completed through a single exposure. First, the images of the edges of the workpiece are compressed and combined by splitting and merging light through the multi-prism system, and the results are distributed to multiple cameras by changing the light path. Then, the mapping relationship between the global measurement coordinates and the image coordinates of each camera is established based on the globally unique M-array coding, and the image distortion is corrected by the coding unit composed of black and white blocks. Finally, the edge is located accurately by edge point detection at the sub-pixel level and curve fitting. The results of measuring a test workpiece with the dimension of 24 mm × 12 mm × 2 mm through a single exposure show that the repeated measurement accuracy can reach 0.2 µm and the absolute accuracy can reach 0.5 µm. Compared with other methods, our method can achieve the large-field measurement through only one exposure and without the mechanical movement of cameras. The measurement precision is higher and the speed is faster.

Indexed as

MovementCalibrationMotionglobal coordinate codinghigh precision measurementimaging system calibrationM-arraymultiple prisms

Identifiers

PMID35336252
PMCPMC8950281
OpenAlexW4221018192

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.