Evidence map›Paper›PMID 41892918›Full record

ArticleJournal of imaging2026

Assessing RGB Color Reliability via Simultaneous Comparison with Hyperspectral Data on Pantone

Cindy Lorena Gómez-Heredia, Jose David Ardila-Useda, Andrés Felipe Cerón-Molina, Jhonny Osorio-Gallego, Jorge Andrés Ramírez-Rincón

Abstract read
In one paragraph

Article in Journal of imaging, 2026. 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

5 authors.

Cindy Lorena Gómez-HerediaGrupo de Películas Delgadas y Nanofotónica, Departamento de Física, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá 110231, Colombia.ORCID 0000-0002-5017-9542
Jose David Ardila-UsedaGrupo de Investigación en Ciencias y Educación (ICE), Facultad de ingeniería, Universidad de América, Bogotá 110211, Colombia.ORCID 0009-0004-2231-2598
Andrés Felipe Cerón-MolinaGrupo de Investigación en Ciencias y Educación (ICE), Facultad de ingeniería, Universidad de América, Bogotá 110211, Colombia.ORCID 0000-0002-4171-5657
Jhonny Osorio-GallegoGrupo de Investigación en Ciencias y Educación (ICE), Facultad de ingeniería, Universidad de América, Bogotá 110211, Colombia.ORCID 0000-0003-2012-9592
Jorge Andrés Ramírez-RincónGrupo de Investigación en Ciencias y Educación (ICE), Facultad de ingeniería, Universidad de América, Bogotá 110211, Colombia.

Funding

Pontificia Universidad Javeriana APCUniversidad de América IHU009
6 · The paper itself

Abstract

Accurate color property measurements are critical for advancing artificial vision in real-time industrial applications. RGB imaging remains highly applicable and widely used due to its practicality, accessibility, and high spatial resolution. However, significant uncertainties in extracting chromatic information highlight the need to define when conventional digital images can reliably provide accurate color data. This work simultaneously compares six chromatic properties across 700 Pantone

Indexed as

CIE-L*a*b* color spacehyperspectral imagingrelative color differencessRGB-REC2020 images

Identifiers

PMID41892918
PMCPMC13028574

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.