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Colormetric Experiments on Aquatic Organisms

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Bioinformatics and Biomedical Engineering (IWBBIO 2017)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 10208))

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Abstract

The analysis of fish skin color in time lapse experiments is a wide field, since the color changes could be affected by different causes. The classical approach uses single point measurement in CIEL*a*b* color space. On the other hand the image acquisition by digital cameras allows to evaluate spatial statistic, in RGB color space. The reliability of the camera color accuracy as well as the software and method description for the automatic color evaluation, is of the concern of this article. Various fish species were subjected of the test. We performed transformations to other color space and using multivariate data statistics, namely principal component analysis, the relevant color space is seleted. The presented software solutions are available at http://www.auc.cz/software/.

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References

  1. Saberioon, M.M., Gholizadeh, A., Cisar, P., Pautsina, A., Urban, J.: Application of machine vision systems in aquaculture with emphasis on fish: state-of-the-art and key issues. Rev. Aquac. (2016)

    Google Scholar 

  2. Gouveia, L., Choubert, G., Gomes, E., Pereira, N., Santinha, J., Empis, J.: Pigmentation of gilthead sea bream, Sparus aurata (L. 1875), using Chlorella vulgaris (Chlorophyta, Volvocales) microalga. Aquac. Res. 33, 987–993 (2002)

    Article  Google Scholar 

  3. Kelsh, R.N.: Genetics and evolution of pigment patterns in fish. Pigment Cell Res. 17, 326–336 (2004)

    Article  Google Scholar 

  4. Kop, A., Durmaz, Y.: The effect of synthetic and natural pigments on the colour of the cichlids (Cichlasoma severum sp., Heckel 1840). Aquacult. Int. 16, 117–122 (2008)

    Article  Google Scholar 

  5. Oshima, N., Nakamaru, N., Araki, S., Sugimoto, M.: Comparative analyses of the pigment-aggregating and dispersing actions of MCH on fish chromatophores. Comp. Biochem. Phys. C Toxicol. Pharmacol. 129(2), 75–84 (2001)

    Article  Google Scholar 

  6. Pan, C.-H., Chien, Y.-H.: Effects of dietary supplementation of alga Haematococcus pluvialis (Flotow), synthetic astaxanthin and -carotene on survival, growth, and pigment distribution of red devil, Cichlasoma citrinellum (Gunther). Aquac. Res. 40, 871–879 (2009)

    Article  Google Scholar 

  7. Putnam, M.: A review of the nature, function, variability, supply of pigments in salmonid fish. In: de Pauw, N., Joyce, J. (eds.) Aquaculture and the Environment, vol. 16, pp. 245–263. European Aquaculture Society Special Publication, Gent (1991)

    Google Scholar 

  8. Gouveia, L., Rema, P.: Effect of microalgal biomass concentration and temperature on ornamental goldfish (Carassius auratus) skin pigmentation. Aquac. Nutr. 11, 19–23 (2005)

    Article  Google Scholar 

  9. Gouveia, L., Rema, P., Pereira, O., Empis, J.: Colouring ornamental fish (Cyprinus carpio and Carassius auratus) with microalgal biomass. Aquac. Nutr. 9, 123–129 (2003)

    Article  Google Scholar 

  10. Ako, H., Tamaru, C.S., Asano, L., Yuen, B., Yamamoto, M.: Achieving natural coloration of fish under culture. UJNR Techn. Rep. 28, 1–4 (1999)

    Google Scholar 

  11. Costa, C., D’Andrea, S., Russo, R., Antonucci, F., Pallottino, F., Menesatti, P.: Application of non-invasive techniques to differentiate sea bass (Dicentrarchus labrax, L. 1758) quality cultured under different conditions. Aquacult. Int. 19, 765–778 (2011). doi:10.1007/s10499-010-9393-9

    Article  Google Scholar 

  12. Costa, C., Antonucci, F., Pallottino, F., Boglione, C., Cataudella, S., Menesatti, P.: Color-warping imaging: a non-destructive technique to evaluate gilthead seabream (Sparus aurata, Linnaeus 1758) freshness. In: CIGR Workshop on Image Analysis in Agriculture, Budapest, pp. 26–27, August 2010

    Google Scholar 

  13. Tejera, N., Cejas, J.R., Rodriguez, C., Bjerkeng, B., Jerez, S., Bolanos, A., Lorenzo, A.: Pigmentation, carotenoids, lipid peroxides and lipid composition of skin of red porgy (Pagrus pagrus) fed diets supplemented with different astaxanthin sources. Aquaculture 270, 218–230 (2007)

    Article  Google Scholar 

  14. Torrissen, O.J., Hardy, R.W., Shearer, K.D.: Pigmentation of salmonids Carotenoid deposition and metabolism. CRC Crit. Rev. Aquat. Sci. 1, 209–225 (1989)

    Google Scholar 

  15. Hancz, C., Magyary, I., Molnar, T., Sato, S., Horn, P., Taniguchi, N.: Evaluation of color intensity enhanced by paprika as feed additive in goldfish and koi carp using computer-assisted image analysis. Fish. Sci. 69, 1158–1161 (2003)

    Article  Google Scholar 

  16. Marty-Mahe, P., Loisel, P., Fauconneau, B., Haffray, P., Brossard, D., Davenel, A.: Quality traits of brown trout (Salmo trutta) cutlets described by automated color image analysis. Aquaculture 232, 225–240 (2004)

    Article  Google Scholar 

  17. Stien, L.H., Manne, F., Ruohonen, K., Kause, A., Rungruangsak-Torrissen, K., Kiessling, A.: Automated image analysis as a tool to quantify the colour and composition of rainbow trout (Oncorhynchus mykiss W.) cutlets. Aquaculture 261, 695–705 (2006)

    Article  Google Scholar 

  18. Novelo, N.D., Gomelsky, B.: Comparison of two methods for measurement of red-area coverage in white-red fish for analysis of color variability and inheritance in ornamental (koi) carp Cyprinus carpio. Aquat. Living Resour. 22, 113–116 (2009)

    Article  Google Scholar 

  19. Pavlidis, M., Papandroulakis, N., Divanach, P.: A method for the comparison of chromaticity parameters in fish skin: preliminary results for coloration pattern of red skin Sparidae. Aquaculture 258, 211–219 (2006)

    Article  Google Scholar 

  20. Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis and Machine Vision. Brooks/Cole Publishing Company, Pacific Grove (1999)

    Google Scholar 

  21. Bayer, B.E.: Color imaging array. US Patent No. 3971065 (1977)

    Google Scholar 

  22. Yang, J., Lu, W., Waibel, A.: Skin-color modeling and adaptation. In: Chin, R., Pong, T.-C. (eds.) ACCV 1998. LNCS, vol. 1352, pp. 687–694. Springer, Heidelberg (1997). doi:10.1007/3-540-63931-4_278

    Google Scholar 

  23. Otsu, N.: A threshold selection method from gray-level histogram. IEEE Trans. Syst. Man Cybern. SMC–9, 62–66 (1979)

    Article  Google Scholar 

  24. Urban, J., Stys, D., Sergejevova, M., Masojidek, J.: Comparison of fish skin colour. J. Appl. Ichthyol. 29, 172–180 (2013)

    Article  Google Scholar 

  25. Zatkova, I., Sergejevova, M., Urban, J., Vachta, R., Stys, D., Masojidek, J.: Albinic form of wels catfish (Silurus glanis). Aquac. Nutr. 17, 278–286 (2011)

    Article  Google Scholar 

  26. Urban J., Sergejevova M., Slepickova I., Kouba A., Stys D., Masojidek J.: Hodnoceni zmen vybarveni okrasnych ryb. Edice Metodik (Technologicka rada), FROV JU, Vodnany, c. 131 (2012). ISBN: 978-80-87437-55-1

    Google Scholar 

  27. Kouba, A., Sales, J., Sergejevov, M., Kozak, P., Masojidek, J.: Colour intensity in angelfish (Pterophyllum scalare) as influenced by dietary microalgae addition. J. Appl. Ichthyol. 29, 193 (2013)

    Article  Google Scholar 

  28. Urban, J., Botella, A.S., Robaina, L.E., Barta, A., Soucek, P., Cisar, P., Papacek, S., Domnguez, L.M.: FISCEAPP: fish skin color evaluation application. In: 17th International Conference on Digital Image Processing, Dubai, UAE (2015)

    Google Scholar 

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Acknowledgement

This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic - projects ‘CENAKVA’ (No. CZ.1.05/2.1.00/01.0024) and ‘CENAKVA II’ (No. LO1205 under the NPU I program).

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Authors and Affiliations

  1. Laboratory of Signal and Image Processing, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Institute of Complex Systems, University of South Bohemia in České Budějovice, Zámek 136, 373 33, Nové Hrady, Czech Republic

    Jan Urban

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Correspondence to Jan Urban .

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Editors and Affiliations

  1. Universidad de Granada, Granada, Spain

    Ignacio Rojas

  2. Universidad de Granada, Granada, Spain

    Francisco Ortuño

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Urban, J. (2017). Colormetric Experiments on Aquatic Organisms. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2017. Lecture Notes in Computer Science(), vol 10208. Springer, Cham. https://doi.org/10.1007/978-3-319-56148-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-56148-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56147-9

  • Online ISBN: 978-3-319-56148-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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