dc.identifier.uri |
http://dx.doi.org/10.15488/12235 |
|
dc.identifier.uri |
https://www.repo.uni-hannover.de/handle/123456789/12333 |
|
dc.contributor.author |
Grimm, Eckhard
|
|
dc.contributor.author |
Kuhnke, Felix
|
|
dc.contributor.author |
Gajdt, Anna
|
|
dc.contributor.author |
Ostermann, Jörn
|
|
dc.contributor.author |
Knoche, Moritz
|
|
dc.date.accessioned |
2022-06-15T05:27:03Z |
|
dc.date.available |
2022-06-15T05:27:03Z |
|
dc.date.issued |
2022 |
|
dc.identifier.citation |
Grimm, E.; Kuhnke, F.; Gajdt, A.; Ostermann, J.; Knoche, M.: Accurate Quantification of Anthocyanin in Red Flesh Apples Using Digital Photography and Image Analysis. In: Horticulturae : open access journal 8 (2022), Nr. 2, 145. DOI: https://doi.org/10.3390/horticulturae8020145 |
|
dc.description.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. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
Basel : MDPI |
|
dc.relation.ispartofseries |
Horticulturae : open access journal 8 (2022), Nr. 2 |
|
dc.rights |
CC BY 4.0 Unported |
|
dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
|
dc.subject |
Malus × domestica |
eng |
dc.subject |
anthocyanin |
eng |
dc.subject |
red flesh |
eng |
dc.subject |
photography |
eng |
dc.subject |
image analysis |
eng |
dc.subject.ddc |
630 | Landwirtschaft, Veterinärmedizin
|
ger |
dc.subject.ddc |
640 | Hauswirtschaft und Familienleben
|
ger |
dc.title |
Accurate Quantification of Anthocyanin in Red Flesh Apples Using Digital Photography and Image Analysis |
|
dc.type |
Article |
|
dc.type |
Text |
|
dc.relation.essn |
2311-7524 |
|
dc.relation.doi |
https://doi.org/10.3390/horticulturae8020145 |
|
dc.bibliographicCitation.issue |
2 |
|
dc.bibliographicCitation.volume |
8 |
|
dc.bibliographicCitation.firstPage |
145 |
|
dc.description.version |
publishedVersion |
|
tib.accessRights |
frei zug�nglich |
|