Evidence map›Paper›PMID 40363297›Full record

ArticleSensors (Basel, Switzerland)2025

Rotary Panoramic and Full-Depth-of-Field Imaging System for Pipeline Inspection.

Qiang Xing, Xueqin Zhao, Kun Song, Jiawen Jiang, Xinhao Wang, Yuanyuan Huang, Haodong Wei

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Qiang XingSchool of Mechanical Engineering, Nantong University, Nantong 226019, China.ORCID 0000-0001-9129-1146
Xueqin ZhaoSchool of Mechanical Engineering, Nantong University, Nantong 226019, China.
Kun SongSchool of Mechanical Engineering, Nantong University, Nantong 226019, China.
Jiawen JiangSchool of Mechanical Engineering, Nantong University, Nantong 226019, China.
Xinhao WangSchool of Mechanical Engineering, Nantong University, Nantong 226019, China.
Yuanyuan HuangSchool of Mechanical Engineering, Nantong University, Nantong 226019, China.
Haodong WeiSchool of Mechanical Engineering, Nantong University, Nantong 226019, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the adaptability and insufficient imaging quality of conventional in-pipe imaging techniques for irregular pipelines or unstructured scenes, this study proposes a novel radial rotating full-depth-of-field focusing imaging system designed to adapt to the structural complexities of irregular pipelines, which can effectively acquire tiny details with a depth of 300-960 mm inside the pipeline. Firstly, a fast full-depth-of-field imaging method driven by depth features is proposed. Secondly, a full-depth rotating imaging apparatus is developed, incorporating a zoom camera, a miniature servo rotation mechanism, and a control system, enabling 360° multi-view angles and full-depth-of-field focusing imaging. Finally, full-depth-of-field focusing imaging experiments are carried out for pipelines with depth-varying characteristics. The results demonstrate that the imaging device can acquire depth data of the pipeline interior and rapidly obtain high-definition characterization sequence images of the inner pipeline wall. In the depth-of-field segmentation with multiple view angles, the clarity of the fused image is improved by 75.3% relative to a single frame, and the SNR and PSNR reach 6.9 dB and 26.3 dB, respectively. Compared to existing pipeline closed-circuit television (CCTV) and other in-pipeline imaging techniques, the developed rotating imaging system exhibits high integration, faster imaging capabilities, and adaptive capacity. This system provides an adaptive imaging solution for detecting defects on the inner surfaces of irregular pipelines, offering significant potential for practical applications in pipeline inspection and maintenance.

Indexed as

full-depth-of-field imagingirregular pipelinelarge field of viewpanoramic focusing imagepipeline imaging

Identifiers

PMID40363297
PMCPMC12074139

What OpenQuestion holds

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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.