Influence of lighting and noise on visual color assessment in textiles
Color is a human perception of the light reflected by an object. It is an appreciation that depends on the way the human´s eyes detect the reflected light and the way the brain processes it. However, for industry, it is an attribute of product appearance and its observation allows the detection of c...
- Autores:
-
Silva, Jesús
Rondon, Carlos
Cabrera, Danelys
Pineda, Omar
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7830
- Acceso en línea:
- https://hdl.handle.net/11323/7830
https://repositorio.cuc.edu.co/
- Palabra clave:
- Visual assessment
Color discrimination
Textile color
Visual ergonomics
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
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Influence of lighting and noise on visual color assessment in textiles |
| title |
Influence of lighting and noise on visual color assessment in textiles |
| spellingShingle |
Influence of lighting and noise on visual color assessment in textiles Visual assessment Color discrimination Textile color Visual ergonomics |
| title_short |
Influence of lighting and noise on visual color assessment in textiles |
| title_full |
Influence of lighting and noise on visual color assessment in textiles |
| title_fullStr |
Influence of lighting and noise on visual color assessment in textiles |
| title_full_unstemmed |
Influence of lighting and noise on visual color assessment in textiles |
| title_sort |
Influence of lighting and noise on visual color assessment in textiles |
| dc.creator.fl_str_mv |
Silva, Jesús Rondon, Carlos Cabrera, Danelys Pineda, Omar |
| dc.contributor.author.spa.fl_str_mv |
Silva, Jesús Rondon, Carlos Cabrera, Danelys Pineda, Omar |
| dc.subject.spa.fl_str_mv |
Visual assessment Color discrimination Textile color Visual ergonomics |
| topic |
Visual assessment Color discrimination Textile color Visual ergonomics |
| description |
Color is a human perception of the light reflected by an object. It is an appreciation that depends on the way the human´s eyes detect the reflected light and the way the brain processes it. However, for industry, it is an attribute of product appearance and its observation allows the detection of certain anomalies and defects [1]. Therefore, color is a characteristic that allows to judge an object by creating conditions for its acceptance or rejection [2]. In this research, a laboratory experiment was carried out to analyze different factors involved in visual color evaluations in textiles. A complete factorial experiment design was carried out in which the analyzed factors were lighting, noise, color and participants. |
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2021-02-04T23:28:57Z |
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Corporación Universidad de la Costa |
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eng |
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[1] David, A., Esposito, T., Houser, K., Royer, M., Smet, K. A., & Whitehead, L. (2020). A vector field color rendition model for characterizing color shifts and metameric mismatch. Leukos, 16(2), 99-114. [2] Henao-Rodríguez, C., Lis-Gutiérrez, J. P., Gaitán-Angulo, M., Malagón, L. E., & Viloria, A. (2018, May). Econometric analysis of the industrial growth determinants in Colombia. In Australasian Database Conference (pp. 316-321). Springer, Cham. [3] Dentoni, V., Grosso, B., Massacci, G., & Soddu, G. P. (2020). Visual impact evaluation of mines and quarries: the updated Lvi method. Environmental Earth Sciences, 79(5), 1-11. [4] Li, X., Powell, N. B., & Michielsen, S. (2020). Print clarity on digitally printed textiles–a quantitative evaluation. The Journal of The Textile Institute, 111(1), 108-121. [5] Khanh, T. Q., Bodrogi, P., Guo, X., & Anh, P. Q. (2019). Towards a user preference model for interior lighting Part 1: Concept of the user preference model and experimental method. Lighting Research & Technology, 51(7), 1014-1029. [6] Li, X., Powell, N. B., & Michielsen, S. (2020). Print clarity on digitally printed textiles–a quantitative evaluation. The Journal of The Textile Institute, 111(1), 108-121. [7] Gerken, M., Schlemmer, H., & Becker, T. (2019, May). Color discrimination of a short wave colorimeter. In Infrared Technology and Applications XLV (Vol. 11002, p. 1100210). International Society for Optics and Photonics. [8] Hagtvedt, H. (2019). Dark is durable, light is user‐friendly: The impact of color lightness on two product attribute judgments. Psychology & Marketing. [9] Zhou, Z., Wang, C., Zhang, J., & Zhu, Z. (2020). Color difference classification of solid color printing and dyeing products based on optimization of the extreme learning machine of the improved whale optimization algorithm. Textile Research Journal, 90(2), 135-155. [10] Zhang, J., Wen, X., & Whang, M. (2020). Recognition of Emotion According to the Physical Elements of the Video. Sensors, 20(3), 649. [11] Catalina, T., Ene, A., & Biro, A. (2019). Visual and acoustic performance of shading devices–real scale laboratory measurements. In E3S Web of Conferences (Vol. 111). EDP Sciences. [12] Barati, B., Karana, E., Sekulovski, D., & Pont, S. C. (2017). Retail lighting and textiles: Designing a lighting probe set. Lighting Research & Technology, 49(2), 173-194. [13] Lavoué, G., Langer, M., Peytavie, A., & Poulin, P. (2018). A Psychophysical Evaluation of Texture Compression Masking Effects. IEEE transactions on visualization and computer graphics, 25(2), 1336-1346. [14] Ying, G., Xinyan, Z., Xiang, L., & Ye, Z. (2018). Quantitative characterization appreciation of golden citrine golden by the irradiation of [FeO4] 4−. Arabian journal of chemistry, 11(6), 918-923. [15] Zhou, Y., & Tang, R. C. (2017). Influence of fixing treatment on the color fastness and bioactivities of silk fabric dyed with curcumin. The Journal of the Textile Institute, 108(6), 1050-1056. [16] Parody, A., Viloria, A., Lis, J. P., Malagón, L. E., Calí, E. G., & Palma, H. H. (2018, June). Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company. In International Conference on Data Mining and Big Data (pp. 729-738). Springer, Cham |
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Silva, JesúsRondon, CarlosCabrera, DanelysPineda, Omar2021-02-04T23:28:57Z2021-02-04T23:28:57Z2020https://hdl.handle.net/11323/783010.1088/1757-899X/872/1/012033Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Color is a human perception of the light reflected by an object. It is an appreciation that depends on the way the human´s eyes detect the reflected light and the way the brain processes it. However, for industry, it is an attribute of product appearance and its observation allows the detection of certain anomalies and defects [1]. Therefore, color is a characteristic that allows to judge an object by creating conditions for its acceptance or rejection [2]. In this research, a laboratory experiment was carried out to analyze different factors involved in visual color evaluations in textiles. A complete factorial experiment design was carried out in which the analyzed factors were lighting, noise, color and participants.Silva, JesúsRondon, CarlosCabrera, Danelys-will be generated-orcid-0000-0002-9486-9764-600Pineda, Omar-will be generated-orcid-0000-0002-8239-3906-600application/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2IOP Conference Series: Materials Science and Engineeringhttps://www.researchgate.net/publication/342502262_Influence_of_lighting_and_noise_on_visual_color_assessment_in_textilesVisual assessmentColor discriminationTextile colorVisual ergonomicsInfluence of lighting and noise on visual color assessment in textilesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion[1] David, A., Esposito, T., Houser, K., Royer, M., Smet, K. A., & Whitehead, L. (2020). A vector field color rendition model for characterizing color shifts and metameric mismatch. Leukos, 16(2), 99-114.[2] Henao-Rodríguez, C., Lis-Gutiérrez, J. P., Gaitán-Angulo, M., Malagón, L. E., & Viloria, A. (2018, May). Econometric analysis of the industrial growth determinants in Colombia. In Australasian Database Conference (pp. 316-321). Springer, Cham.[3] Dentoni, V., Grosso, B., Massacci, G., & Soddu, G. P. (2020). Visual impact evaluation of mines and quarries: the updated Lvi method. Environmental Earth Sciences, 79(5), 1-11.[4] Li, X., Powell, N. B., & Michielsen, S. (2020). Print clarity on digitally printed textiles–a quantitative evaluation. The Journal of The Textile Institute, 111(1), 108-121.[5] Khanh, T. Q., Bodrogi, P., Guo, X., & Anh, P. Q. (2019). Towards a user preference model for interior lighting Part 1: Concept of the user preference model and experimental method. Lighting Research & Technology, 51(7), 1014-1029.[6] Li, X., Powell, N. B., & Michielsen, S. (2020). Print clarity on digitally printed textiles–a quantitative evaluation. The Journal of The Textile Institute, 111(1), 108-121.[7] Gerken, M., Schlemmer, H., & Becker, T. (2019, May). Color discrimination of a short wave colorimeter. In Infrared Technology and Applications XLV (Vol. 11002, p. 1100210). International Society for Optics and Photonics.[8] Hagtvedt, H. (2019). Dark is durable, light is user‐friendly: The impact of color lightness on two product attribute judgments. Psychology & Marketing.[9] Zhou, Z., Wang, C., Zhang, J., & Zhu, Z. (2020). Color difference classification of solid color printing and dyeing products based on optimization of the extreme learning machine of the improved whale optimization algorithm. Textile Research Journal, 90(2), 135-155.[10] Zhang, J., Wen, X., & Whang, M. (2020). Recognition of Emotion According to the Physical Elements of the Video. Sensors, 20(3), 649.[11] Catalina, T., Ene, A., & Biro, A. (2019). Visual and acoustic performance of shading devices–real scale laboratory measurements. In E3S Web of Conferences (Vol. 111). EDP Sciences.[12] Barati, B., Karana, E., Sekulovski, D., & Pont, S. C. (2017). Retail lighting and textiles: Designing a lighting probe set. Lighting Research & Technology, 49(2), 173-194.[13] Lavoué, G., Langer, M., Peytavie, A., & Poulin, P. (2018). A Psychophysical Evaluation of Texture Compression Masking Effects. IEEE transactions on visualization and computer graphics, 25(2), 1336-1346.[14] Ying, G., Xinyan, Z., Xiang, L., & Ye, Z. (2018). Quantitative characterization appreciation of golden citrine golden by the irradiation of [FeO4] 4−. Arabian journal of chemistry, 11(6), 918-923.[15] Zhou, Y., & Tang, R. C. (2017). Influence of fixing treatment on the color fastness and bioactivities of silk fabric dyed with curcumin. The Journal of the Textile Institute, 108(6), 1050-1056.[16] Parody, A., Viloria, A., Lis, J. P., Malagón, L. E., Calí, E. G., & Palma, H. H. (2018, June). Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company. In International Conference on Data Mining and Big Data (pp. 729-738). 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