Remote Determination of Wool Color
DOI:
https://doi.org/10.33042/2079-424X.2023.62.3.03Keywords:
optical radiation, diffused reflection of light, optical characteristics of wool, registration of reflected light, photo receiver, diffused internal scattering, wool coat layerAbstract
Analysis of the financial condition of the sheep industry is partly due to the low color purity of sheared wool, in the absence of animal selection to form sheep flocks with the same stripe color and the creation of conditions that would make it impossible to mix animals in flocks with different colors. To enable the above objectives to be achieved, theoretical studies of the conditions of reflection and absorption of optical radiation by the wool coat of animals were carried out, for which purpose the model of the incident ray interacting with the surface of sheep wool was improved and studied. The role of the reflected flux in diffuse scattering on individual wool layers is determined and a model of the reflected flux in the presence of local internal inhomogeneities is developed. The obtained functional dependences characterizing both the reflected and scattered light made it possible to formulate the requirements regarding technical implementation of the proposed method of flock formation by wool color.
References
Ostapchuk, P.S., Pashtetsky, V.S., Usmanova, E.N., Kuevda, T.A., Zyablitskaya, E.Y., Makalish, T.P., & Saen-ko, J.S. (2022). Environment and sheep wool quality indi-cators. IOP Conference Series: Earth and Environmental Sci-ence, 965, 012028. https://doi.org/10.1088/1755-1315/965/1/012028
Dominik, S., & Swan, A.A. (2016). Genetic and phenotypic parameters for reproduction, production and bodyweight traits in Australian fine-wool Merino sheep. Animal Production Science, 58(2), 207–212. https://doi.org/10.1071/AN15738
Ivanova, T., Stoikova-Grigorova, R., Bozhilova-Sakova, M., Ignatova, M., Dimitrova, I., & Koutev, V. (2021). Phenotypic and genetic characteristics of fecundi-ty in sheep. A review. Bulgarian Journal of Agricultural Science, 27(5), 1002–1008.
Reider, G.A. (2013). Photonik: eine Einführung in die Grundlagen. Springer-Verlag.
Nechifor, I., Pascal, C., Florea, M.A., & Padeanu, I. (2015). Research on transmission of color at karakulul of botosani. Scientific Papers – Animal Science Series: Lucrari Stiintifice – Seria Zootechnie, 64, 49–52.
Wrolstad, R.E., & Smith, D.E. (2017). Color analy-sis. In: Nielsen, S.S. (eds) Food Analysis (pp. 545–555). Springer. https://doi.org/10.1007/978-3-319-45776-5_31
Kaushik, S., & Kumar, B. (Eds.). (2023). Analytical Methods in Chemical Analysis: An Introduction. Walter de Gruyter. https://doi.org/10.1515/9783110794816
Mishra, S.K., Suh, W.I., Farooq, W., Moon, M., Shrivastav, A., Park, M.S., & Yang, J.W. (2014). Rapid quantification of microalgal lipids in aqueous medium by a simple colorimetric method. Bioresource Technology, 155, 330–333. https://doi.org/10.1016/j.biortech.2013.12.077
Hnilica, K.A., & Patterson, A.P. (2016). Small Ani-mal Dermatology: A Color Atlas and Therapeutic Guide. Else-vier Health Sciences.
Ly, B.C.K., Dyer, E.B., Feig, J.L., Chien, A.L., & Del Bino, S. (2020). Research techniques made simple: cuta-neous colorimetry: a reliable technique for objective skin color measurement. Journal of Investigative Dermatology, 140(1), 3–12. https://doi.org/10.1016/j.jid.2019.11.003
Vidal, M., Garcia-Arrona, R., Bordagaray, A., Os-tra, M., & Albizu, G. (2018). Simultaneous determination of color additives tartrazine and allura red in food prod-ucts by digital image analysis. Talanta, 184, 58–64. https://doi.org/10.1016/j.talanta.2018.02.111
Abdlaty, R., Hayward, J., Farrell, T., & Fang, Q. (2021). Skin erythema and pigmentation: a review of optical assessment techniques. Photodiagnosis and Photody-namic Therapy, 33, 102127. https://doi.org/10.1016/j.pdpdt.2020.102127
Xu, D.T., Yan, J.N., Cui, Y., & Liu, W. (2016). Quan-tifying facial skin erythema more precisely by analyzing color channels of The VISIA Red images. Journal of Cos-metic and Laser Therapy, 18(5), 296–300. https://doi.org/10.3109/14764172.2016.1157360
Logger, J.G.M., de Vries, F.M.C., van Erp, P.J., de Jong, E.M.G.J., Peppelman, M., & Driessen, R.J.B. (2020). Noninvasive objective skin measurement methods for rosacea assessment: a systematic review. British Journal of Dermatology, 182(1), 55–66. https://doi.org/10.1111/bjd.18151
Choi, J.W., Kim, B.R., Lee, H.S., & Youn, S.W. (2014). Characteristics of subjective recognition and computer‐aided image analysis of facial erythematous skin diseases: a cornerstone of automated diagnosis. British Journal of Dermatology, 171(2), 252–258. https://doi.org/10.1111/bjd.12769
Matias, A.R., Ferreira, M., Costa, P., & Neto, P. (2015). Skin colour, skin redness and melanin biometric measurements: comparison study between Antera® 3D, Mexameter® and Colorimeter®. Skin Research and Tech-nology, 21(3), 346–362. https://doi.org/10.1111/srt.12199
Ding, Y.K., Xu, Y.F., & Ke, Y.T. (2014). Analysis of the color performance of gold and silver foil paper. Ap-plied Mechanics and Materials, 469, 265–268. https://doi.org/10.4028/www.scientific.net/AMM.469.265
Liu, G.H., & Yang, J.Y. (2013). Content-based im-age retrieval using color difference histogram. Pattern Recognition, 46(1), 188–198. https://doi.org/10.1016/j.patcog.2012.06.001
Kutz, M. (Ed.). (2016). Handbook of Measurement in Science and Engineering (Vol. 3). John Wiley & Sons.
Piriya, A., Printo, J., Kiruba, D., Lakshmanan, S., Kinoshita, T., & Muthusamy, S. (2017). Colorimetric sen-sors for rapid detection of various analytes. Materials Science and Engineering: C, 78, 1231–1245. https://doi.org/10.1016/j.msec.2017.05.018
Hanrahan, P., & Krueger, W. (2023). Reflection from layered surfaces due to subsurface scattering. Semi-nal Graphics Papers: Pushing the Boundaries, 2, 279–288. https://doi.org/10.1145/3596711.3596743
Hecht, E. (2023). Optik. Walter de Gruyter. https://doi.org/10.1515/9783110526653
Tsybukh, A. (2015). Analysis of methods of math-ematical design of distribution of optical radiation is in biological objects of agriculture. Bulletin of P. Vasylenko Kharkiv National Technical University of Agriculture, (164), 92–100. [in Ukrainian]
Kuzmin, V.L. (2017). Simulation of polarized opti-cal radiation transport in time and frequency representa-tions. Journal of Experimental and Theoretical Physics, 125, 579–586. https://doi.org/10.1134/S1063776117090084
Choi, Y., Hillman, T.R., Choi, W., Lue, N., Dasari, R.R., So, P.T., ... & Yaqoob, Z. (2013). Measurement of the time-resolved reflection matrix for enhancing light en-ergy delivery into a scattering medium. Physical Review Letters, 111(24), 243901. https://doi.org/10.1103/PhysRevLett.111.243901
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