Evidence map›Paper›PMID 35009548›Full record

ArticleSensors (Basel, Switzerland)2021

Computer Vision in Analyzing the Propagation of a Gas-Gunpowder Jet.

Irina G Palchikova, Igor V Latyshov, Evgenii S Smirnov, Vasilii A Vasiliev, Alexander V Kondakov, Irina A Budaeva

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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
0.2field-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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

6 authors at 4 institutions in 1 country.

Irina G PalchikovaTechnological Design Institute of Scientific Instrument Engineering of the Siberian Branch of the RAS, 630058 Novosibirsk, Russia.
Igor V LatyshovSaint Petersburg University of the Ministry of the Interior of Russia, 198206 St. Petersburg, Russia.ORCID 0000-0003-3441-1556
Evgenii S SmirnovTechnological Design Institute of Scientific Instrument Engineering of the Siberian Branch of the RAS, 630058 Novosibirsk, Russia.ORCID 0000-0002-4244-8474
Vasilii A VasilievVolgograd Academy of the Ministry of Interior of Russia, 400089 Volgograd, Russia.ORCID 0000-0003-4596-2193
Alexander V KondakovFederal State Institution of Higher Education, Saint Petersburg Academy of the Investigative Committee of the Russian Federation, 190068 St. Petersburg, Russia.
Irina A BudaevaTechnological Design Institute of Scientific Instrument Engineering of the Siberian Branch of the RAS, 630058 Novosibirsk, Russia.
Technological Design Institute of Scientific Instrument Engineering · RUMoscow Academy of the Investigative Committee of the Russian Federation · RUSt. Petersburg University of the Ministry of Internal Affairs of Russia · RUVolgograd Academy of the Russian Internal Affairs Ministry · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A method of mathematically processing the digital images of targets is developed. The theoretical and mathematical justification and the experimental validation of the possibility of estimating the amount of gunshot residue (GSR) and determining the GSR distribution over the target on the basis of its digital image is provided. The analysis of the optical density in selected concentric rings in the images reveals the radial dependence of soot distribution in the cross section of a gas-gunpowder jet. The analysis of the optical density in selected sectors of the circle reveals the angular dependence of the soot distribution in the gas-gunpowder jet cross section. It is shown that the integral optical density averaged over a selected area in the target image characterizes the mass of GSP deposited on it. It is possible to quantify the differences in the radial and angular distributions of the thickness of the GSR layer on various targets obtained both with the help of weapons of different types at the same distances and with the help of weapons of the same type at different distances, by calculating the distribution of optical density on their digital images.

Indexed as

Wounds, GunshotComputersHumansSootSootdigital image processinggas–gunpowder jetgunshot residuesoptical densitytarget

Identifiers

PMID35009548
PMCPMC8747569
OpenAlexW4200455364

What OpenQuestion holds

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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.