A Data Driven Approach to Assess Complex Colour Profiles in Plant Tissues.
colour analysis
computer vision
fruit
growing
plant
quantification of colour
region-growing algorithm
Journal
Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200
Informations de publication
Date de publication:
2021
2021
Historique:
received:
03
11
2021
accepted:
15
12
2021
entrez:
14
2
2022
pubmed:
15
2
2022
medline:
15
2
2022
Statut:
epublish
Résumé
The ability to quantify the colour of fruit is extremely important for a number of applied fields including plant breeding, postharvest assessment, and consumer quality assessment. Fruit and other plant organs display highly complex colour patterning. This complexity makes it challenging to compare and contrast colours in an accurate and time efficient manner. Multiple methodologies exist that attempt to digitally quantify colour in complex images but these either require
Identifiants
pubmed: 35154203
doi: 10.3389/fpls.2021.808138
pmc: PMC8826216
doi:
Types de publication
Journal Article
Langues
eng
Pagination
808138Informations de copyright
Copyright © 2022 McAtee, Nardozza, Richardson, Wohlers and Schaffer.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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