Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 145 |
| Fachzeitschrift | Horticulturae |
| Jahrgang | 8 |
| Ausgabenummer | 2 |
| Frühes Online-Datum | 9 Feb. 2022 |
| Publikationsstatus | Veröffentlicht - 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.
ASJC Scopus Sachgebiete
- Agrar- und Biowissenschaften (insg.)
- Pflanzenkunde
- Agrar- und Biowissenschaften (insg.)
- Gartenbau
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in: Horticulturae, Jahrgang 8, Nr. 2, 145, 02.2022.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Accurate Quantification of Anthocyanin in Red Flesh Apples Using Digital Photography and Image Analysis
AU - Grimm, Eckhard
AU - Kuhnke, Felix
AU - Gajdt, Anna
AU - Ostermann, Jörn
AU - Knoche, Moritz
PY - 2022/2
Y1 - 2022/2
N2 - 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.
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.
KW - Anthocyanin
KW - Image analysis
KW - Malus × domestica
KW - Photography
KW - Red flesh
UR - http://www.scopus.com/inward/record.url?scp=85124571019&partnerID=8YFLogxK
U2 - 10.3390/horticulturae8020145
DO - 10.3390/horticulturae8020145
M3 - Article
AN - SCOPUS:85124571019
VL - 8
JO - Horticulturae
JF - Horticulturae
IS - 2
M1 - 145
ER -