Evidence map›Paper›PMID 33924510›Full record

ArticleSensors (Basel, Switzerland)2021

A Novel Approach to Image Recoloring for Color Vision Deficiency.

George E Tsekouras, Anastasios Rigos, Stamatis Chatzistamatis, John Tsimikas, Konstantinos Kotis, George Caridakis, Christos-Nikolaos Anagnostopoulos

Abstract 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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Special Issue on Machine Learning and AI for Sensors.Sensors (Basel, Switzerland) · 2023
    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.

George E TsekourasDepartment of Cultural Technology and Communications, University of the Aegean, 811 00 Mitilini, Greece.ORCID 0000-0001-7006-1536
Anastasios RigosDepartment of Cultural Technology and Communications, University of the Aegean, 811 00 Mitilini, Greece.
Stamatis ChatzistamatisDepartment of Cultural Technology and Communications, University of the Aegean, 811 00 Mitilini, Greece.ORCID 0000-0003-2912-3058
John TsimikasDepartment of Statistics and Actuarial-Financial Mathematics, University of the Aegean, 811 00 Mitilini, Greece.
Konstantinos KotisDepartment of Cultural Technology and Communications, University of the Aegean, 811 00 Mitilini, Greece.ORCID 0000-0001-7838-9691
George CaridakisDepartment of Cultural Technology and Communications, University of the Aegean, 811 00 Mitilini, Greece.
Christos-Nikolaos AnagnostopoulosDepartment of Cultural Technology and Communications, University of the Aegean, 811 00 Mitilini, Greece.

Funding

Greece and the European Union (European Social Fund-ESF) through the Operational Programme "Human Resources Development, Education and Lifelong Learning 2014-2020" 5047115
6 · The paper itself

Abstract

In this paper, a novel method to modify color images for the protanopia and deuteranopia color vision deficiencies is proposed. The method admits certain criteria, such as preserving image naturalness and color contrast enhancement. Four modules are employed in the process. First, fuzzy clustering-based color segmentation extracts key colors (which are the cluster centers) of the input image. Second, the key colors are mapped onto the CIE 1931 chromaticity diagram. Then, using the concept of confusion line (i.e., loci of colors confused by the color-blind), a sophisticated mechanism translates (i.e., removes) key colors lying on the same confusion line to different confusion lines so that they can be discriminated by the color-blind. In the third module, the key colors are further adapted by optimizing a regularized objective function that combines the aforementioned criteria. Fourth, the recolored image is obtained by color transfer that involves the adapted key colors and the associated fuzzy clusters. Three related methods are compared with the proposed one, using two performance indices, and evaluated by several experiments over 195 natural images and six digitized art paintings. The main outcomes of the comparative analysis are as follows. (a) Quantitative evaluation based on nonparametric statistical analysis is conducted by comparing the proposed method to each one of the other three methods for protanopia and deuteranopia, and for each index. In most of the comparisons, the Bonferroni adjusted

Indexed as

Color Vision DefectsCluster AnalysisColorColor PerceptionHumansart paintingschromaticity diagramcolor transfercolor vision deficiencyconfusion linedifferential evolutionfuzzy clusteringimage recoloringnatural images

Identifiers

PMID33924510
PMCPMC8069325

What OpenQuestion holds

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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.