English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/81948
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


Comparison of X-ray CT and MRI of watercore disorder of different apple cultivars

AuthorsHerremans, Els; Melado-Herreros, Ángela; Defraeye, Thijs; Verlinden, Bert; Hertog, Maarten; Verboven, Pieter; Val Falcón, Jesús ; Fernández-Valle, Encarnación; Bongaers, Evi; Estrade, Pascal; Wevers, Martine; Barreiro Elorza, Pilar; Bart M., Nicolaï
KeywordsAutomatic segmentation
Histogram analysis
X-ray CT
Watercore disorder
Issue DateJan-2014
CitationHerremans E, Melado-Herreros A, Defraeye T, Verlinden B, Hertog M, Verboven P, Val J, Fernández-Valle ME, Bongaers E, Estrade P, Wevers M, Barreiro P, Nicolaï BM. Comparison of X-ray CT and MRI of watercore disorder of different apple cultivars. Postharvest Biology and Technology 87: 42-50 (2014)
AbstractWatercore is an internal disorder that appears as water-soaked, glassy regions near the core in apples. Fast and non-destructive solutions for sensing watercore would be readily accepted in the postharvest industry. X-ray CT and MRI were compared as potential imaging technologies for detecting this particular disorder. After matching the 3D datasets of X-ray CT and MRI, the images that were obtained on identical fruit were compared quantitatively. Both MRI and CT were able to detect watercore, however the contrast in MRI images was superior. High-resolution micro-CT images showed the microstructural changes in watercore fruit: the intercellular spaces of the affected apple tissue are filled with water. This explained the higher density that is detected here by the X-rays and the higher water content in the MRI. Mean and variance of the frequency distribution of MRI and X-ray CT intensity appeared to be a parameter that allows the identification of healthy apples from affected fruit. Automatic image processing based on thresholding the images resulted in comparable watercore classification accuracy of up to 89% for X-ray CT and 79% for MRI data, despite the better contrast in the MRI images.
Description9 Págs., 7 Figs. The definitive version is available at: http://www.sciencedirect.com/science/journal/09255214
Publisher version (URL)http://dx.doi.org/10.1016/j.postharvbio.2013.08.008
Appears in Collections:(EEAD) Artículos
Files in This Item:
File Description SizeFormat 
mod vers.aut pend.pdf20,83 kBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.