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Journal articles on the topic 'Color vision deficiencies'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Makarov, I. A. "Prevalence of Color Vision Deficiencies." Ophthalmology in Russia 17, no. 3 (September 24, 2020): 414–21. http://dx.doi.org/10.18008/1816-5095-2020-3-414-421.

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Purpose. The study of color deficiencies prevalence in young people, students of higher educational university.Materials and methods. The study was carried for the half year — fall semester. A total of 1,609 students were examined, aged 17–21. There were 1191 boys and 418 girls. The survey was conducted to determine the health groups in physical training and in various sports sections. An ophthalmologic examination determined refractive disorders and other ocular pathology, which is important for determining health groups. Rabkin polychromatic tables and Neitz color vision test (Neitz Lab (UW Medicine) were used for determining of color deficiencies. The obtained results of these tests were compared in terms of the time spent on the test, the results of the test effectiveness, the determination of dissimulation, and the assessment of the shift in the color spectrum in individuals with impaired color perception.Results. A total of refractive disorders were detected in 856 students (53.2 %). The high degree of myopia was in 40. Disorders of color deficient were noted in 101 students (8.48 %) of 1191 male subjects when using the Neitz color test. Dichromatic eye changes were observed from 2.1 % students: protanopia and deiteranopia were in 0.67 % and 1.43 %. Most of all there were violations with the perception of shades of light brown and light green colors. A third of healthy students noted the impossibility of distinguishing light brown from light gray. This is regardless of the state of refraction. Simultaneous violations of the perception of shades of red, green, yellow and blue were observed in one subject, it was associated with congenital cataracts. In four young people, acquired eye diseases caused. In two girls, violations of the perception of a pastel shade of light green were noted, with one girl (0.24 %) having a violation in two eyes, and was presumably due to a gene anomaly. The second girl had one eye and was associated with partial atrophy of the optic nerve after the optic neuritis.Conclusions. Neitz color test expands the diagnostic possibilities, since in its design it has pastel shades of light green and light brown colors on a gray background, reduces the likelihood of dissimulation, reduces the time of the survey. Neitz color test allows to expand the possibilities for more accurate and differential diagnosis dichromatic and anormal trichromatic subjects and acquired color vision defects.

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2

BONNARDEL, VALÉRIE. "Color naming and categorization in inherited color vision deficiencies." Visual Neuroscience 23, no. 3-4 (May 2006): 637–43. http://dx.doi.org/10.1017/s0952523806233558.

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Dichromatic subjects can name colors accurately, even though they cannot discriminate among red-green hues (Jameson & Hurvich, 1978). This result is attributed to a normative language system that dichromatic observers developed by learning subtle visual cues to compensate for their impoverished color system. The present study used multidimensional scaling techniques to compare color categorization spaces of color-vision deficient (CVD) subjects to those of normal trichromat (NT) subjects, and consensus analysis estimated the normative effect of language on categorization. Subjects sorted 140 Munsell color samples in three different ways: a free sorting task (unlimited number of categories), a constrained sorting task (number of categories limited to eight), and a constrained naming task (limited to eight basic color terms). CVD color categories were comparable to those of NT subjects. For both CVD and NT subjects, a common color categorization space derived from the three tasks was well described by a three-dimensional model, with the first two dimensions corresponding to reddish-greenish and yellowish-bluish axes. However, the third axis, which was associated with an achromatic dimension in NTs, was not identified in the CVD model. Individual differences multidimensional scaling failed to reveal group differences in the sorting tasks. In contrast, the personal color naming spaces of CVD subjects exhibited a relative compression of the yellowish-bluish dimension that is inconsistent with the typical deutan-type color spaces derived from more direct measures of perceptual color judgments. As expected, the highest consensus among CVDs (77%) and NTs (82%) occurred in the naming task. The categorization behaviors studied in this experiment seemed to rely more on learning factors, and may reveal little about CVD perceptual representation of colors.

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3

Chen, Yu-Chieh, and Tai-Shan Liao. "Hardware Digital Color Enhancement for Color Vision Deficiencies." ETRI Journal 33, no. 1 (February 7, 2011): 71–77. http://dx.doi.org/10.4218/etrij.11.1510.0009.

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4

DEEB, SAMIR S. "Molecular genetics of color-vision deficiencies." Visual Neuroscience 21, no. 3 (May 2004): 191–96. http://dx.doi.org/10.1017/s0952523804213244.

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The normal X-chromosome-linked color-vision gene array is composed of a single long-wave-sensitive (L-) pigment gene followed by one or more middle-wave-sensitive (M-) pigment genes. The expression of these genes to form L- or M-cones is controlled by the proximal promoter and by the locus control region. The high degree of homology between the L- and M-pigment genes predisposed them to unequal recombination, leading to gene deletion or the formation of L/M hybrid genes that explain the majority of the common red–green color-vision deficiencies. Hybrid genes encode a variety of L-like or M-like pigments. Analysis of the gene order in arrays of normal and deutan subjects indicates that only the two most proximal genes of the array contribute to the color-vision phenotype. This is supported by the observation that only the first two genes of the array are expressed in the human retina. The severity of the color-vision defect is roughly related to the difference in absorption maxima (λmax) between the photopigments encoded by the first two genes of the array. A single amino acid polymorphism (Ser180Ala) in the L pigment accounts for the subtle difference in normal color vision and influences the severity of red–green color-vision deficiency.Blue-cone monochromacy is a rare disorder that involves absence of L- and M-cone function. It is caused either by deletion of a critical region that regulates expression of the L/M gene array, or by mutations that inactivate the L- and M-pigment genes. Total color blindness is another rare disease that involves complete absence of all cone function. A number of mutants in the genes encoding the cone-specific α- and β-subunits of the cGMP-gated cation channel as well as in the α-subunit of transducin have been implicated in this disorder.

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5

RAMASWAMY, SHANKARAN, and JEFFERY K. HOVIS. "Ability of the D-15 panel tests and HRR pseudoisochromatic plates to predict performance in naming VDT colors." Visual Neuroscience 21, no. 3 (May 2004): 455–60. http://dx.doi.org/10.1017/s095252380421313x.

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Color codes in VDT displays often contain sets of colors that are confusing to individuals with color-vision deficiencies. The purpose of this study is to determine whether individuals with color-vision deficiencies (color defectives) can perform as well as individuals without color-vision deficiencies (color normals) on a colored VDT display used in the railway industry and to determine whether clinical color-vision tests can predict their performance. Of the 52 color defectives, 58% failed the VDT test. The kappa coefficients of agreement for the Farnsworth D-15, Adams desaturated D-15, and Richmond 3rd Edition HRR PIC diagnostic plates were significantly greater than chance. In particular, the D-15 tests have a high probability of predicting who fails the practical test. However, all three tests had an unacceptably high false-negative rate (9.5–35%); so that a practical test is still needed.

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6

Bruno, Alessandro, Francesco Gugliuzza, Edoardo Ardizzone, Calogero Carlo Giunta, and Roberto Pirrone. "Image Content Enhancement Through Salient Regions Segmentation for People With Color Vision Deficiencies." i-Perception 10, no. 3 (May 2019): 204166951984107. http://dx.doi.org/10.1177/2041669519841073.

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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 fixation point maps. One of our contributions is to detect the main differences between the aforementioned human visual systems related to color vision deficiencies by analyzing real fixation maps among people with and without color vision deficiencies. Another contribution is to provide a method to enhance color regions of the image by using a detailed color mapping of the segmented salient regions of the given image. The segmentation is performed by using the difference between the original input image and the corresponding color blind altered image. A second eye-tracking of color blind people with the images enhanced by using recoloring of segmented salient regions reveals that the real fixation points are then more coherent (up to 10%) with the normal visual system. The eye-tracking data collected during our experiments are in a publicly available dataset called Eye-Tracking of Color Vision Deficiencies.

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7

BUCK, STEVEN, MAUREEN NEITZ, BARRY B. LEE, and KENNETH KNOBLAUCH. "Guest Editor's Foreword: Proceedings of the 18th Biennial Symposium of the International Colour Vision Society. Held July 2005, Lyon, France." Visual Neuroscience 23, no. 3-4 (May 2006): 295–96. http://dx.doi.org/10.1017/s0952523806233005.

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The International Colour Vision Society (ICVS) held its 18th biennial meeting in Lyon, France in July 2005. The ICVS, originally founded in 1967 as the International Research Group in Colour Vision Deficiencies and renamed in 1997, brings together vision scientists and clinicians with a common interest in color vision and color vision deficiencies. With significant technological advances that have permitted new and deeper questions about color vision to be addressed, the subject matter of recent meetings has expanded to include greater contributions from such areas as molecular genetics and evolution, retinal and cerebral imaging studies and computational modeling. The peer-reviewed papers in this volume span these newer and the more traditional topics of interest to the society, covering both applied and fundamental topics.

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8

Dreyer, V. "C. R. Cavonius: Color Vision Deficiencies XIII." Acta Ophthalmologica Scandinavica 75, no. 6 (May 27, 2009): 735. http://dx.doi.org/10.1111/j.1600-0420.1997.tb00643.x.

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9

Reimchen, T. E. "Human color vision deficiencies and atmospheric twilight." Biodemography and Social Biology 34, no. 1-2 (March 1987): 1–11. http://dx.doi.org/10.1080/19485565.1987.9988655.

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10

Dain, Stephen J., Joanne M. Wood, and David A. Atchison. "Sunglasses, Traffic Signals, and Color Vision Deficiencies." Optometry and Vision Science 86, no. 4 (April 2009): e296-e305. http://dx.doi.org/10.1097/opx.0b013e318199d1da.

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11

Shen, Wuyao, Xiangyu Mao, Xinghong Hu, and Tien-Tsin Wong. "Seamless visual sharing with color vision deficiencies." ACM Transactions on Graphics 35, no. 4 (July 11, 2016): 1–12. http://dx.doi.org/10.1145/2897824.2925878.

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12

Ruberg, F. L., D. J. Skene, J. P. Hanifin, M. D. Rollag, J. English, J. Arendt, and G. C. Brainard. "Melatonin regulation in humans with color vision deficiencies." Journal of Clinical Endocrinology & Metabolism 81, no. 8 (August 1996): 2980–85. http://dx.doi.org/10.1210/jcem.81.8.8768862.

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13

Ruberg, F. L. "Melatonin regulation in humans with color vision deficiencies." Journal of Clinical Endocrinology & Metabolism 81, no. 8 (August 1, 1996): 2980–85. http://dx.doi.org/10.1210/jc.81.8.2980.

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14

Hovis, Jeffery K., Nelda J. Milburn, and Thomas E. Nesthus. "Hypoxia, color vision deficiencies, and blood oxygen saturation." Journal of the Optical Society of America A 29, no. 2 (January 27, 2012): A268. http://dx.doi.org/10.1364/josaa.29.00a268.

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15

Yanagida, Takuto, Katsunori Okajima, and Hidenori Mimura. "Color scheme adjustment by fuzzy constraint satisfaction for color vision deficiencies." Color Research & Application 40, no. 5 (September 1, 2014): 446–64. http://dx.doi.org/10.1002/col.21913.

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16

Dees, Elise W., and Rigmor C. Baraas. "Performance of normal females and carriers of color-vision deficiencies on standard color-vision tests." Journal of the Optical Society of America A 31, no. 4 (March 13, 2014): A401. http://dx.doi.org/10.1364/josaa.31.00a401.

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17

Melun, Jean-Pierre, Louise M. Morin, J. Gerard Muise, and Marc DesRosiers. "Color vision deficiencies in Gilles de la Tourette syndrome." Journal of the Neurological Sciences 186, no. 1-2 (May 2001): 107–10. http://dx.doi.org/10.1016/s0022-510x(01)00516-0.

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18

Bao, Shi, Go Tanaka, and Johji Tajima. "Fundamental study of illumination transformation for color vision deficiencies." Optical Review 22, no. 1 (February 2015): 79–92. http://dx.doi.org/10.1007/s10043-015-0055-z.

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19

Alexander, Kenneth R. "Color Vision Deficiencies: Proceedings of the Symposium of the International Research Group on Color Vision Deficiencies, Tokyo, Japan, March 26-28, 1990." Retina 12, no. 1 (1992): 77. http://dx.doi.org/10.1097/00006982-199212010-00030.

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20

Ohkoba, Minoru, Tomoharu Ishikawa, Shoko Hira, Sakuichi Ohtsuka, and Miyoshi Ayama. "Analysis of Hue Circle Perception of Congenital Red-green Congenital Color Deficiencies Based on Color Vision Model." Color and Imaging Conference 2020, no. 28 (November 4, 2020): 105–8. http://dx.doi.org/10.2352/issn.2169-2629.2020.28.15.

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To investigate individual property of internal color representation of congenital red-green color-deficient observers (CDOs) and color-normal observers (CNOs) precisely, difference scaling experiment using pairs of primary colors was carried out for protans, deutans, and normal trichromats, and the results were analyzed using multi-dimensional Scaling (MDS). MDS configuration of CNOs showed circular shape similar to hue circle, whereas that of CNO showed large individual differences from circular to U- shape. Distortion index, DI, is proposed to express the shape variation of MDS configuration. All color chips were plotted in the color vision space, (L, r/g, y/b), and the MDS using a non-linear conversion from the distance in the color vision space to perceptual difference scaling was successful to obtain U-shape configuration that reflects internal color representation of CDOs.

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21

BAILEY, JAMES E., MAUREEN NEITZ, DIANE M. TAIT, and JAY NEITZ. "Evaluation of an updated HRR color vision test." Visual Neuroscience 21, no. 3 (May 2004): 431–36. http://dx.doi.org/10.1017/s0952523804213463.

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The HRR pseudoisochromatic plate (pip) test was originally designed as a screening and diagnostic test for color vision deficiencies. The original HRR test is now long out of print. We evaluate here the new 4th edition of the HRR test, produced in 2002 by Richmond Products. The 2002 edition was compared to the original 1955 edition for a group of subjects with normal color vision and a group who had been previously diagnosed as having color vision deficiencies. The color deficient subjects spanned the range of severity among people with red-green deficiencies except for one individual who had a mild congenital tritan deficiency. The new test compared favorably with the original and in at least two areas, outperformed it. Among subjects with deutan defects the classification of severity correlated better with the anomaloscope results than the original; all the subjects who were classified as dichromats on the anomaloscope were rated as “severe” on the new HRR, while those diagnosed as anomalous trichromats were rated as mild or medium on the new test. Among those with moderate and severe defects the new test was highly accurate in correctly categorizing subjects as protan or deutan. In addition, a mild tritan subject made a tritan error on the new test whereas he was misdiagnosed as normal on the original.

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22

Adams, Russell J., Mary L. Courage, and Michele E. Mercer. "Deficiencies in human neonates' color vision: photoreceptoral and neural explanations." Behavioural Brain Research 43, no. 2 (May 1991): 109–14. http://dx.doi.org/10.1016/s0166-4328(05)80060-9.

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23

Kapitany, Thomas, Margot Dietzel, Josef Grünberger, Richard Frey, Lisa Koppensteiner, Gertrud Schleifer, and Brigitte Marx. "Color vision deficiencies in the course of acute alcohol withdrawal." Biological Psychiatry 33, no. 6 (March 1993): 415–22. http://dx.doi.org/10.1016/0006-3223(93)90169-e.

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POKORNY, JOEL, MARGARET LUTZE, DINGCAI CAO, and ANDREW J. ZELE. "The color of night: Surface color categorization by color defective observers under dim illuminations." Visual Neuroscience 25, no. 3 (May 2008): 475–80. http://dx.doi.org/10.1017/s0952523808080486.

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People with normal trichromatic color vision experience variegated hue percepts under dim illuminations where only rod photoreceptors mediate vision. Here, hue perceptions were determined for persons with congenital color vision deficiencies over a wide range of light levels, including very low light levels where rods alone mediate vision. Deuteranomalous trichromats, deuteranopes and protanopes served as observers. The appearances of 24 paper color samples from the OSA Uniform Color Scales were gauged under successively dimmer illuminations from 10 to 0.0003 Lux (1.0 to −3.5 log Lux). Triads of samples were chosen representing each of eight basic color categories; “red,” “pink,” “orange,” “yellow,” “green,” “blue,” “purple,” and “gray.” Samples within each triad varied in lightness. Observers sorted samples into groups that they could categorize with specific color names. Above −0.5 log Lux, the dichromatic and anomalous trichromatic observers sorted the samples into the original representative color groups, with some exceptions. At light levels where rods alone mediate vision, the color names assigned by the deuteranomalous trichromats were similar to the color names used by color normals; higher scotopic reflectance samples were classified as blue-green-grey and lower reflectance samples as red-orange. Color names reported by the dichromats at the dimmest light levels had extensive overlap in their sample scotopic lightness distributions. Dichromats did not assign scotopic color names based on the sample scotopic lightness, as did deuteranomalous trichromats and colour-normals. We reasoned that the reduction in color gamut that a dichromat experiences at photopic light levels leads to a limited association of rod color perception with objects differing in scotopic reflectance.

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Tsekouras, George E., Anastasios Rigos, Stamatis Chatzistamatis, John Tsimikas, Konstantinos Kotis, George Caridakis, and Christos-Nikolaos Anagnostopoulos. "A Novel Approach to Image Recoloring for Color Vision Deficiency." Sensors 21, no. 8 (April 13, 2021): 2740. http://dx.doi.org/10.3390/s21082740.

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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 p-values are <0.015, favoring the superiority of the proposed method. (b) Qualitative evaluation verifies the aesthetic appearance of the recolored images. (c) Subjective evaluation supports the above results.

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Hayslip, Bert, Patricia A. McBride, Rodney L. Lowman, and Harriet J. Aronson. "Color Vision Deficits and Rorschach Performance in Aged Persons." International Journal of Aging and Human Development 34, no. 2 (March 1992): 165–73. http://dx.doi.org/10.2190/3vp2-x2j1-kqt2-duv1.

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Forty-two community residing older adults ( M age = 69.28) (32 color normal, 10 color deficient) were administered the Rorschach and measures of both verbal and nonverbal intelligence in order to explore the effect of color vision deficiencies on affective responsivity. Among the sample of older persons screened for both visual and auditory acuity, when controls for intelligence and numbers of responses were made, greater affective constriction was found in the protocols of color vision deficient persons, relative to color normal individuals. These data suggest that Rorschach indicators of affective constriction may be biased in the case of individuals who have experienced color vision decrements. Consequently, first screening for color vision decrements when assessing older persons' personality dynamics may be desirable.

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27

Triebig, Gerhard, Thomas Stark, Andreas Ihrig, and Michael C. Dietz. "Intervention Study on Acquired Color Vision Deficiencies in Styrene-Exposed Workers." Journal of Occupational and Environmental Medicine 43, no. 5 (May 2001): 494–500. http://dx.doi.org/10.1097/00043764-200105000-00010.

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28

Neitz, Maureen, and Jay Neitz. "A new mass screening test for color-vision deficiencies in children." Color Research & Application 26, S1 (2000): S239—S249. http://dx.doi.org/10.1002/1520-6378(2001)26:1+<::aid-col51>3.0.co;2-l.

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OSTADIMOGHADDAM, H., AA YEKTA, J. HERAVIAN, M. AHMADI HOSSEINI, S. VATANDOUST, F. ABOLBASHARI, and F. SHARIFI. "Prevalence of refractive error in school childrens with color vision deficiencies." Acta Ophthalmologica 92 (August 20, 2014): 0. http://dx.doi.org/10.1111/j.1755-3768.2014.t007.x.

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de Fez, Dolores, María José Luque, Lucía Matea, David P. Piñero, and Vicente J. Camps. "New iPAD-based test for the detection of color vision deficiencies." Graefe's Archive for Clinical and Experimental Ophthalmology 256, no. 12 (October 6, 2018): 2349–60. http://dx.doi.org/10.1007/s00417-018-4154-y.

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Díez, Maria Amparo, Maria Jose Luque, Pascual Capilla, Juan Gómez, and Maria Dolores de Fez. "Detection and Assessment of Color Vision Anomalies and Deficiencies in Children." Journal of Pediatric Ophthalmology & Strabismus 38, no. 4 (July 2001): 195–205. http://dx.doi.org/10.3928/0191-3913-20010701-05.

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32

Costedoat, Gregory, and Evan McHughes Palmer. "The Effects of Color Vision Deficiencies on Medical Professionals and Proposed Countermeasures." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1286–90. http://dx.doi.org/10.1177/1541931218621295.

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Diagnosing various medical conditions and interpreting the results of colorimetric tests requires medical professionals to utilize color-based cues. However, those with a color vision deficiency (CVD) are at an increased risk of misdiagnosing patients and incorrectly interpreting the results of colorimetric tests. The most common CVDs afflicting medical professionals are deuteranomaly, deuteranopia, protanomaly, and protanopia, all of which reduce the ability to perceive a difference between green, yellow, orange, and red hues. For example, it has been found that medical professionals and students with a CVD have a decreased ability to detect blood in stool samples and are more likely to misread the results of colorimetric tests. In an effort to reduce these types of errors, potential countermeasures are explored, including screening for CVDs early on in medical school, implementing redundant coding principles for colorimetric medical tests, and designing efficient support systems for medical professionals with a CVD.

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Choi, Hoon-Il, Sung-Woong Hong, and Young-Gun Jang. "A Study on Generation of Customized ICC Profile for Color Vision Deficiencies." KIPS Transactions:PartB 15B, no. 2 (April 30, 2008): 113–22. http://dx.doi.org/10.3745/kipstb.2008.15-b.2.113.

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34

HOVIS, JEFFERY K. "Long Wavelength Pass Filters Designed for the Management of Color Vision Deficiencies." Optometry and Vision Science 74, no. 4 (April 1997): 222–30. http://dx.doi.org/10.1097/00006324-199704000-00024.

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35

Ueyama, Hisao, Shigeki Kuwayama, Hiroo Imai, Shoko Tanabe, Sanae Oda, Yasuhiro Nishida, Akimori Wada, Yoshinori Shichida, and Shinichi Yamade. "Novel missense mutations in red/green opsin genes in congenital color-vision deficiencies." Biochemical and Biophysical Research Communications 294, no. 2 (June 2002): 205–9. http://dx.doi.org/10.1016/s0006-291x(02)00458-8.

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Pohlen, Boštjan, Marko Hawlina, Manca Pompe, and Igor Kopač. "Do Type 1 Diabetes Mellitus and Color-Vision Deficiencies Influence Shade-Matching Ability?" International Journal of Prosthodontics 31, no. 3 (May 2018): 239–47. http://dx.doi.org/10.11607/ijp.5563.

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37

Hanggi, Evelyn B., Jerry F. Ingersoll, and Terrace L. Waggoner. "Color vision in horses (Equus caballus): Deficiencies identified using a pseudoisochromatic plate test." Journal of Comparative Psychology 121, no. 1 (2007): 65–72. http://dx.doi.org/10.1037/0735-7036.121.1.65.

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38

Davidoff, Candice, Maureen Neitz, and Jay Neitz. "Genetic Testing as a New Standard for Clinical Diagnosis of Color Vision Deficiencies." Translational Vision Science & Technology 5, no. 5 (September 6, 2016): 2. http://dx.doi.org/10.1167/tvst.5.5.2.

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39

GERLING, JÜRGEN, THOMAS MEIGEN, and MICHAEL BACH. "Shift of Equiluminance in Congenital Color Vision Deficiencies: Pattern-ERG, VEP and Psychophysical Findings." Vision Research 37, no. 6 (March 1997): 821–26. http://dx.doi.org/10.1016/s0042-6989(96)00161-7.

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40

Oda, Sanae, Hisao Ueyama, Shoko Tanabe, Yuki Tanaka, Shinichi Yamade, and Kazutaka Kani. "Detection of female carriers of congenital color-vision deficiencies by visual pigment gene analysis." Current Eye Research 21, no. 4 (January 2000): 767–73. http://dx.doi.org/10.1076/ceyr.21.4.767.5544.

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41

Cwierz, Halina C., Francisco Diaz-Barrancas, Pedro J. Pardo, Angel Luis Perez, and Maria Isabel Suero. "Application of spectral computing technics for color vision testing using virtual reality devices." Electronic Imaging 2020, no. 15 (January 26, 2020): 260–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.15.color-237.

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Color deficiency tests are well known all over the world. However, there are not applications that attempt to simulate these tests with total color accuracy in virtual reality using spectral color computing. In this work a study has been made of the tools that exist in the market in VR environments to simulate the experience of users suffering from color vision deficiencies (CVD) and the VR tools that detect CVD. A description of these tools is provided and a new proposal is presented, developed using Unity Game Engine software and HTC Vive VR glasses as Head Mounted Display (HMD). The objective of this work is to assess the ability of normal and defective observers to discriminate color by means of a color arrangement test in a virtual reality environment. The virtual environment that has been generated allows observers to perform a virtual version of the Farnsworth-Munsell 100 Hue (FM 100) color arrangement test. In order to test the effectiveness of the virtual reality test, experiments have been carried out with real users, the results of which we will see in this paper.

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Milić, Neda, Miklós Hoffmann, Tibor Tómács, Dragoljub Novaković, and Branko Milosavljević. "A Content-Dependent Naturalness-Preserving Daltonization Method for Dichromatic and Anomalous Trichromatic Color Vision Deficiencies." Journal of Imaging Science and Technology 59, no. 1 (January 1, 2015): 105041–1050410. http://dx.doi.org/10.2352/j.imagingsci.technol.2015.59.1.010504.

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ATCHISON, DAVID A., KENNETH J. BOWMAN, and ALGIS J. VINGRYS. "Quantitative Scoring Methods for D15 Panel Tests in the Diagnosis of Congenital Color Vision Deficiencies." Optometry and Vision Science 68, no. 1 (January 1991): 41–48. http://dx.doi.org/10.1097/00006324-199101000-00007.

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Li, Zhong Hai, Peng Bo Yu, and Qing Cheng Zhang. "Gauss Background Modeling Method Based on Multi-Scale Feature." Applied Mechanics and Materials 385-386 (August 2013): 1439–42. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1439.

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The existing background modelings are mostly color vision characteristics modeling based on single pixel, which are easily influenced by light shadow, weather and noise, and can easily cause foreground apertures and false alarm discrete noise. This paper presents the background modeling based on multiscale Gauss parameters against deficiencies. the experimental results shows that it can efficiently solve the problem of cavity and false alarm discrete noise.

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Crognale, Michael A., Eugene Switkes, Jeff Rabin, Marilyn E. Schneck, Gunilla Hægerström-Portnoy, and Anthony J. Adams. "Application of the spatiochromatic visual evoked potential to detection of congenital and acquired color-vision deficiencies." Journal of the Optical Society of America A 10, no. 8 (August 1, 1993): 1818. http://dx.doi.org/10.1364/josaa.10.001818.

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N, Leena, and K. K. Saju. "Classification of Macronutrient Deficiencies in Maize Plant Using Machine Learning." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (December 1, 2018): 4197. http://dx.doi.org/10.11591/ijece.v8i6.pp4197-4203.

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<p>Detection of nutritional deficiencies in plants is vital for improving crop productivity. Timely identification of nutrient deficiency through visual symptoms in the plants can help farmers take quick corrective action by appropriate nutrient management strategies. The application of computer vision and machine learning techniques offers new prospects in non-destructive field-based analysis for nutrient deficiency. Color and shape are important parameters in feature extraction. In this work, two different techniques are used for image segmentation and feature extraction to generate two different feature sets from the same image sets. These are then used for classification using different machine learning techniques. The experimental results are analyzed and compared in terms of classification accuracy to find the best algorithm for the two feature sets.</p>

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Metlapally, Ravikanth, Michel Michaelides, Anuradha Bulusu, Yi-Ju Li, Marianne Schwartz, Thomas Rosenberg, David M. Hunt, et al. "Evaluation of the X-Linked High-Grade Myopia Locus (MYP1) with Cone Dysfunction and Color Vision Deficiencies." Investigative Opthalmology & Visual Science 50, no. 4 (April 1, 2009): 1552. http://dx.doi.org/10.1167/iovs.08-2455.

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Nagasawa, Kazuhiro, Tomoko Tsunoda, and Koichi Oda. "A social problem of diagnosis on the color vision deficiencies from the viewpoint of the employment of newly graduating university students." JAPANESE ORTHOPTIC JOURNAL 27 (1999): 263–69. http://dx.doi.org/10.4263/jorthoptic.27.263.

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YANG, XIAOLI, ZHENPENG ZHAO, and YOUN K. KIM. "A REAL TIME TRAFFIC LIGHT RECOGNITION SYSTEM." International Journal of Information Acquisition 05, no. 02 (June 2008): 149–61. http://dx.doi.org/10.1142/s0219878908001569.

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Driving is a challenging task, especially for those with color vision deficiencies. Intelligent Transport Systems (ITS) can provide useful information and make driving safe and convenient. A real time traffic light recognition system is presented in this paper for improving public safety and facilitating color deficient drivers. It may also be included as a part of ITS. The presented system consists of a digital video camera to record traffic lights and a portable PC to process images in real time. It uses various techniques of color detection, feature matching with normalized cross-correlation (NCC), and mathematical shape analysis for the traffic light recognition. For color detection, we obtained an initial solution by using RGB component adjustment, thresholding algorithm, and median filter. In dealing with illumination changes with weather and time, a simple adaptation method was developed. Feature matching with NCC was used after color detection to further detect and recognize the traffic lights. To improve the system's tolerance and robustness, a mathematical shape analysis was undertaken to obtain the final results. Numerous experiments were conducted to demonstrate the effectiveness and practicability of the system with images under different weather conditions. The average recognition ratio is higher than 95% from the testing results. The average processing time is 30 ms per frame, making the system suitable in real time conditions. Audio alert is added to the current system as an integral part of a portable system to be developed.

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BRANDÃO, Luana Paula Nogueira de Araújo, Lucio VILAR, Bernardo Menelau CAVALCANTI, Pedro Henrique Amorim BRANDÃO, Tiago Eugênio Faria e. ARANTES, and Josemberg Marins CAMPOS. "Serum levels of vitamin A, visual function and ocular surface after bariatric surgery." Arquivos de Gastroenterologia 54, no. 1 (March 2017): 65–69. http://dx.doi.org/10.1590/s0004-2803.2017v54n1-13.

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ABSTRACT BACKGROUND Bariatric surgery is the most effective treatment for severe obesity, but the surgery increases the risk of developing nutritional deficiencies, such as vitamin A deficiency. In human metabolism, vitamin A plays a role in vision. OBJECTIVE To evaluate serum vitamin A, visual function and ocular surface of patients undergoing bariatric surgery. METHODS A cross-sectional and analytical study was conduced with 28 patients undergoing bariatric surgery for at least 6 months. Ophthalmologic evaluation was done through color vision test, contrast sensitivity test, ocular surface tests and confocal microscopy, as well as vitamin A serum measurement. RESULTS Vertical sleeve gastrectomy was performed in seven (25.0%) patients and Roux -en-Y gastric by-pass in 21 (75.0%). Mean serum vitamin A level was 1.7±0.5 µmoL/L. Most patients (60.7%) had symptoms of dry eye. Five (17.9%) patients had contrast sensitivity impairment and 18 (64.3%) color vision changes. In the group of patients undergoing Roux -en-Y gastric by-pass , mean vitamin A levels were 1.8±0.6 µmoL/L, whereas they were 1.7±0.5 µmoL/L in patients submitted to the restrictive technique vertical sleeve gastrectomy . The analysis of the influence of serum levels of vitamin A in the visual function and ocular surface was performed by Pearson correlation test and there was no significant correlation between any of the variables and vitamin A. CONCLUSION There was no influence of the bariatric surgery technique used on serum vitamin A levels, on the visual function or on the ocular surface. Moreover, there was no correlation between serum levels of vitamin A and the visual function or the ocular surface changes.

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