Search results for "Color vision deficiencies"

showing 2 items of 2 documents

New iPAD-based test for the detection of color vision deficiencies.

2018

Purpose: To develop and validate a new iPad-based color vision test (Optopad). Methods: A total of 341 student eyes were enrolled in a first comparative study between Optopad and the Isihara tests. In a second comparative study, Optopad vs. the Farnworth-Munsell test (FM 100H), a total of 66 adult eyes were included. Besides the agreement between tests, the correlation between FM 100H and Optopad outcomes were investigated. Multiple regression analysis was used to predict the total error score (TES) from contrast thresholds measured with the Optopad test. Results: The Ishihara and Optopad tests detected the same anomalous patients. Concerning FM 100H vs. Optopad, 10 subjects were diagnosed …

Malemedicine.medical_specialtyColor vision deficienciesIshihara platesColor Vision DefectsAudiology01 natural sciences010309 opticsCorrelation03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineReference Values0103 physical sciencesmedicineHumansDiagnosis Computer-AssistedChromatic discriminationChildStudentsÓpticaMathematicsFarnsworth-Munsell 100 hue testColor Perception TestsColor VisionContrast (statistics)Reproducibility of ResultsRegression analysisDiscrimination testingSensory SystemsTest (assessment)iPadOphthalmologyChild PreschoolComputers Handheld030221 ophthalmology & optometryFemaleQuadratic regression modelOptopadFarnsworth-Munsell 100 hue testColor PerceptionGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
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Image Content Enhancement Through Salient Regions Segmentation for People With Color Vision Deficiencies

2019

Color vision deficiencies affect visual perception of colors and, more generally, color images. Several sciences such as genetics, biology, medicine, and computer vision are involved in studying and analyzing vision deficiencies. As we know from visual saliency findings, human visual system tends to fix some specific points and regions of the image in the first seconds of observation summing up the most important and meaningful parts of the scene. In this article, we provide some studies about human visual system behavior differences between normal and color vision-deficient visual systems. We eye-tracked the human fixations in first 3 seconds of observation of color images to build real f…

Visual perceptiongenetic structureslcsh:BF1-990ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONExperimental and Cognitive Psychology02 engineering and technology050105 experimental psychologyArticlevisual saliencyArtificial IntelligenceColor mapping0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesComputer visionSegmentationimage enhancementimage segmentationeye-trackingSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industry05 social sciencesEye movementImage segmentationFixation (psychology)Color vision deficienciesSensory Systemseye diseasesOphthalmologyeye movementslcsh:PsychologyHuman visual system modelEye tracking020201 artificial intelligence & image processingArtificial intelligencebusinessimagery
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