Abstract
Arctic Charr (Salvelinus alpinus L.) exhibit red ornamentation at abdomen area during the mating season. The redness is caused by carotenoid components and it assumed to be related to the vitality, nutritional status, foraging ability and generally health of the fish. To assess the carotenoid amount, the spectral data is preferred but it is not always possible to measure it. Therefore, an RGB-to-spectra transform is needed. We test here polynomial regression model with different training sets to find good model especially for Arctic charr.
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Martinkauppi, J.B., Shatilova, Y., Kekäläinen, J., Parkkinen, J. (2009). Polynomial Regression Spectra Reconstruction of Arctic Charr’s RGB. In: Trémeau, A., Schettini, R., Tominaga, S. (eds) Computational Color Imaging. CCIW 2009. Lecture Notes in Computer Science, vol 5646. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03265-3_21
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DOI: https://doi.org/10.1007/978-3-642-03265-3_21
Publisher Name: Springer, Berlin, Heidelberg
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