Color-discrimination threshold determination using pseudoisochromatic test plates

Jurasevska, Kaiva; Ozolinsh, Maris; Fomins, Sergejs; Gutmane, Ausma; Zutere, B.; Pausus, Anete; Karitans, Varis

doi:10.3389/fpsyg.2014.01376

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…Existing diagnostic tests for CVD are typically based on a criterion score of raw protan and deutan thresholds between individuals (Barbur & Rodriguez-Carmona, 2015 ; Jurasevska et al, 2014 ; Mollon et al, 1991 ; Rabin et al, 2011 ). We found this to be a suboptimal metric on which to base classification for young children, because the raw thresholds along a given confusion axes do not account for individual differences in non-visual factors such as attention, motivation and engagement that influence task performance (Bosten et al, 2017 ; Dain & Ling, 2009 ; Ling & Dain, 2018 ; see Fig.…”

Section: Resultsmentioning

confidence: 99%

ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children

et al. 2021

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There is a need for a straightforward, accessible and accurate pediatric test for color vision deficiency (CVD). We present and evaluate ColourSpot, a self-administered, gamified and color calibrated tablet-based app, which diagnoses CVD from age 4. Children tap colored targets with saturations that are altered adaptively along the three dichromatic confusion lines. Two cohorts (Total, N = 772; Discovery, N = 236; Validation, N = 536) of 4–7-year-old boys were screened using the Ishihara test for Unlettered Persons and the Neitz Test of Color Vision. ColourSpot was evaluated by testing any child who made an error on the Ishihara Unlettered test alongside a randomly selected control group who made no errors. Psychometric functions were fit to the data and “threshold ratios” were calculated as the ratio of tritan to protan or deutan thresholds. Based on the threshold ratios derived using an optimal fitting procedure that best categorized children in the discovery cohort, ColourSpot showed a sensitivity of 1.00 and a specificity of 0.97 for classifying CVD against the Ishihara Unlettered in the independent validation cohort. ColourSpot was also able to categorize individuals with ambiguous results on the Ishihara Unlettered. Compared to the Ishihara Unlettered, the Neitz Test generated an unacceptably high level of false positives. ColourSpot is an accurate test for CVD, which could be used by anyone to diagnose CVD in children from the start of their education. ColourSpot could also have a wider impact: its interface could be adapted for measuring other aspects of children’s visual performance.

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Section: Resultsmentioning

confidence: 99%

ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children

et al. 2021

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“…In addition, a correlation between the severity of color vision deficiency and dE units has been reported [39]. A low-severity defect has a dE of around 22 units, a mild-severity defect has a dE of around 40 units, and a high-severity defect dE is around 60 units [41].…”

Section: Dive Color Testmentioning

confidence: 99%

Validation of a New Digital and Automated Color Perception Test

Fanlo-Zarazaga,

Echevarría,

Pinilla

et al. 2024

Diagnostics

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Although color vision deficiencies are very prevalent, there are no ideal methods for assessing color vision in all environments. We compared a new digital and automated method that quantifies color perception for the three protan, deutan, and tritan axes with two of the most commonly used color tests in daily practice: the Ishihara 38 plates test and the Farnsworth–Munsell 100-Huetest. One hundred patients underwent a triple examination composed of the new DIVE Color Test, the Ishihara test, and the Farnsworth–Munsell 100-Huetest. The DIVE Color Test was performed twice in forty participants to assess its repeatability. In the trichromatic group, the mean age stood at 20.57 ± 9.22 years compared with 25.99 ± 15.86 years in the dyschromatic group. The DIVE and Ishihara tests exhibited excellent agreement in identifying participants with color deficiency (Cohen’s kappa = 1.00), while it was 0.81 when comparing DIVE and Farnsworth. The correlation between the global perception values of Farnsworth (TES) and DIVE (GCS) was 0.80. The repeatability of the DIVE Color Test was high according to Bland–Altman analysis with an intraclass correlation coefficient of 0.83. According to Ishihara, the DIVE Color Test proved to be an effective and reproducible tool for red–green color vision deficiency detection, capable of determining the severity of the defect in each of the three axes faster and more accurately than both Ishihara and Farnsworth.

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“…Souza et al [10] used the Cambridge Color Test (CCT) to investigate the influence on color discrimination thresholds due to the number of luminance levels present in the luminance noise. Jurasevska et al [11] reported the classification ability for the deficiency type and severity level of human eyes. Madani et al [12] proposed a technique to recognize the traffic sign based on its border color, shape, and pictogram information.…”

Section: Current Color Discrimination Systemmentioning

confidence: 99%

Design and Research of a Color Discrimination Method for Polycrystalline Silicon Cells Based on Laser Detection System

Chen

Wang

2019

Applied Sciences

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In this paper, a method of color discrimination based on sample sensitivity to light wavelength is proposed based on the reflection spectra of a large number of samples and the statistical calculation of the measurement data. A laser detection system is designed to realize the color discrimination. For the color discrimination of polycrystalline silicon cells, the most sensitive wavelength, 434 nm, and the least sensitive wavelength, 645 nm, of polycrystalline silicon cells is obtained according to this method. A laser detection system was built to measure the polycrystalline silicon cells. This system consists of two lasers, optical shutters, collimating beam expanding systems, an optical coaxial system, sample platform, collecting lens, and optical power meter or optical sensor. Two laser beams of different wavelengths are beamed coaxially through the optical coaxial system onto a polycrystalline silicon cell and are reflected or scattered. The reflected or scattered lights are collected through a lens with a high number aperture and received separately by the optical power meter. Then the color value of the polycrystalline silicon cell in this system is characterized by the ratio of light intensity data received. The system measured a large number of previous polycrystalline silicon cells to form the different color categories of polycrystalline silicon cells of this system in the computer database. When a new polycrystalline silicon cell is measured, the color discrimination system can automatically classify the new polycrystalline silicon cell to a certain color category in order to achieve color discrimination.

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Color-discrimination threshold determination using pseudoisochromatic test plates

Cited by 7 publications

References 18 publications

ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children

ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children

Validation of a New Digital and Automated Color Perception Test

Design and Research of a Color Discrimination Method for Polycrystalline Silicon Cells Based on Laser Detection System

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