Accurate Quantification of Anthocyanin in Red Flesh Apples Using Digital Photography and Image Analysis

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Original languageEnglish
Article number145
JournalHorticulturae
Volume8
Issue number2
Early online date9 Feb 2022
Publication statusPublished - Feb 2022

Abstract

Red fleshed apples (Malus × domestica Borkh.) differ in colour intensity between cultivars, seasons and sites. The objective of this study was to develop a procedure for predicting anthocyanin content from digital images of flesh discs. Flesh cylinders of uniform colour were excised, scanned and their colours determined in the R, G and B and the L*a*b* colour spaces. Anthocyanin content was also quantified chemically. A calibration line was constructed to predict anthocyanin content of flesh discs of varying colour from a scan or a photograph in the studio or outdoors. Anthocyanin concentration was linearly related to the logarithms of G, B and L*. From these relationships, the anthocyanin content of a flesh disc was predicted, pixel by pixel. Colour corrections were applied using a reference colour chart included in all images. The Finlayson algorithm was most effective for correcting the G parameter obtained by a flatbed scanner. For variable imaging methods (scanning or photography), the Vandermonde algorithm for correcting the L* parameter and the Finlayson algorithm for correcting the G parameter were most effective in predicting anthocyanin content. The procedure allows accurate prediction of anthocyanin content of red fleshed apples from simple colour scans or photographs.

Keywords

    Anthocyanin, Image analysis, Malus × domestica, Photography, Red flesh

ASJC Scopus subject areas

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Accurate Quantification of Anthocyanin in Red Flesh Apples Using Digital Photography and Image Analysis. / Grimm, Eckhard; Kuhnke, Felix; Gajdt, Anna et al.
In: Horticulturae, Vol. 8, No. 2, 145, 02.2022.

Research output: Contribution to journalArticleResearchpeer review

Grimm E, Kuhnke F, Gajdt A, Ostermann J, Knoche M. Accurate Quantification of Anthocyanin in Red Flesh Apples Using Digital Photography and Image Analysis. Horticulturae. 2022 Feb;8(2):145. Epub 2022 Feb 9. doi: 10.3390/horticulturae8020145
Grimm, Eckhard ; Kuhnke, Felix ; Gajdt, Anna et al. / Accurate Quantification of Anthocyanin in Red Flesh Apples Using Digital Photography and Image Analysis. In: Horticulturae. 2022 ; Vol. 8, No. 2.
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abstract = "Red fleshed apples (Malus × domestica Borkh.) differ in colour intensity between cultivars, seasons and sites. The objective of this study was to develop a procedure for predicting anthocyanin content from digital images of flesh discs. Flesh cylinders of uniform colour were excised, scanned and their colours determined in the R, G and B and the L*a*b* colour spaces. Anthocyanin content was also quantified chemically. A calibration line was constructed to predict anthocyanin content of flesh discs of varying colour from a scan or a photograph in the studio or outdoors. Anthocyanin concentration was linearly related to the logarithms of G, B and L*. From these relationships, the anthocyanin content of a flesh disc was predicted, pixel by pixel. Colour corrections were applied using a reference colour chart included in all images. The Finlayson algorithm was most effective for correcting the G parameter obtained by a flatbed scanner. For variable imaging methods (scanning or photography), the Vandermonde algorithm for correcting the L* parameter and the Finlayson algorithm for correcting the G parameter were most effective in predicting anthocyanin content. The procedure allows accurate prediction of anthocyanin content of red fleshed apples from simple colour scans or photographs.",
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AU - Kuhnke, Felix

AU - Gajdt, Anna

AU - Ostermann, Jörn

AU - Knoche, Moritz

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AB - Red fleshed apples (Malus × domestica Borkh.) differ in colour intensity between cultivars, seasons and sites. The objective of this study was to develop a procedure for predicting anthocyanin content from digital images of flesh discs. Flesh cylinders of uniform colour were excised, scanned and their colours determined in the R, G and B and the L*a*b* colour spaces. Anthocyanin content was also quantified chemically. A calibration line was constructed to predict anthocyanin content of flesh discs of varying colour from a scan or a photograph in the studio or outdoors. Anthocyanin concentration was linearly related to the logarithms of G, B and L*. From these relationships, the anthocyanin content of a flesh disc was predicted, pixel by pixel. Colour corrections were applied using a reference colour chart included in all images. The Finlayson algorithm was most effective for correcting the G parameter obtained by a flatbed scanner. For variable imaging methods (scanning or photography), the Vandermonde algorithm for correcting the L* parameter and the Finlayson algorithm for correcting the G parameter were most effective in predicting anthocyanin content. The procedure allows accurate prediction of anthocyanin content of red fleshed apples from simple colour scans or photographs.

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