Evidence map›Paper›PMID 36433561›Full record

ArticleSensors (Basel, Switzerland)2022

A Study on the Effectiveness of Spatial Filters on Thermal Image Pre-Processing and Correlation Technique for Quantifying Defect Size.

Ho Jong Kim, Anuja Shrestha, Eliza Sapkota, Anwit Pokharel, Sarvesh Pandey, Cheol Sang Kim, Ranjit Shrestha

Abstract read
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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
–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

1 citing paper in PubMed.

  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

7 authors.

Ho Jong KimDivision of Mechanical Design Engineering, Chonbuk National University, Jeonju 561-756, Republic of Korea.
Anuja ShresthaDepartment of Mechanical Engineering, School of Engineering, Kathmandu University, Dhulikhel, Kavrepalanchok P.O. Box 6250, Nepal.
Eliza SapkotaDepartment of Mechanical Engineering, School of Engineering, Kathmandu University, Dhulikhel, Kavrepalanchok P.O. Box 6250, Nepal.
Anwit PokharelDepartment of Mechanical Engineering, School of Engineering, Kathmandu University, Dhulikhel, Kavrepalanchok P.O. Box 6250, Nepal.
Sarvesh PandeyDepartment of Mechanical Engineering, School of Engineering, Kathmandu University, Dhulikhel, Kavrepalanchok P.O. Box 6250, Nepal.ORCID 0000-0003-4514-2152
Cheol Sang KimDivision of Mechanical Design Engineering, Chonbuk National University, Jeonju 561-756, Republic of Korea.
Ranjit ShresthaDepartment of Mechanical Engineering, School of Engineering, Kathmandu University, Dhulikhel, Kavrepalanchok P.O. Box 6250, Nepal.ORCID 0000-0002-1562-9624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermal imaging plays a vital role in structural health monitoring of various materials and provides insight into the defect present due to aging, deterioration, and fault during construction. This study investigated the effectiveness of spatial filters during pre-processing of thermal images and a correlation technique in post-processing, as well as exploited its application in non-destructive testing and evaluation of defects in steel structures. Two linear filters (i.e., Gaussian and Window Averaging) and a non-linear filter (i.e., Median) were implemented during pre-processing of a pulsed thermography image sequence. The effectiveness of implemented filters was then assessed using signal to noise ratio as a quality metric. The result of pre-processing revealed that each implemented filter is capable of reducing impulse noise and producing high-quality images; additionally, when comparing the signal to noise ratio, the Gaussian filter dominated both Window Averaging and Median filters. Defect size was determined using a correlation technique on a sequence of pulsed thermography images that had been pre-processed with a Gaussian filter. Finally, it is concluded that the correlation technique could be applied to the fast measurement of defect size, even though the accuracy may depend on the detection limit of thermography and defect size to depth ratio.

Indexed as

Image Processing, Computer-AssistedNormal DistributionSignal-To-Noise Rationoisepulsed thermographysignal to noise ratiospatial filteringthermal imaging

Identifiers

PMID36433561
PMCPMC9698019

What OpenQuestion holds

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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.