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Assessment of bruise volumes in apples using X-ray computed tomography
- Source :
- Postharvest Biology and Technology. 128:24-32
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- © 2017 Elsevier B.V. A non-destructive methodology was developed to automatically detect and quantify bruise volumes in the equatorial region of apples, using X-ray CT images. Grey level threshold values were calculated to segment bruises in ‘Jonagold’, ‘Joly Red’ and ‘Kanzi’ apple fruit using the multi-level Otsu's threshold method. Comparisons were made between the CT-based bruise volume estimates and bruise volume estimates that were based on destructive measurements in combination with simple geometric assumptions. Visualisation of the bruises in both 2 and 3D showed that bruises, resulting from a pendulum impact with a spherical impactor, can be highly irregularly shaped which implies that the bruise volume estimations based on simple geometric assumptions cannot deliver accurate results. publisher: Elsevier articletitle: Assessment of bruise volumes in apples using X-ray computed tomography journaltitle: Postharvest Biology and Technology articlelink: http://dx.doi.org/10.1016/j.postharvbio.2017.01.013 content_type: article copyright: © 2017 Elsevier B.V. All rights reserved. ispartof: Postharvest Biology and Technology vol:128 pages:24-32 status: published
- Subjects :
- medicine.medical_specialty
biology
Image processing
04 agricultural and veterinary sciences
Horticulture
biology.organism_classification
040401 food science
040501 horticulture
Surgery
Bruise
0404 agricultural biotechnology
X ray computed
medicine
Grey level
Jonagold
Tomography
medicine.symptom
0405 other agricultural sciences
Agronomy and Crop Science
Food Science
Mathematics
Remote sensing
Subjects
Details
- ISSN :
- 09255214
- Volume :
- 128
- Database :
- OpenAIRE
- Journal :
- Postharvest Biology and Technology
- Accession number :
- edsair.doi.dedup.....dea08abe2339b915654be12910e0e308
- Full Text :
- https://doi.org/10.1016/j.postharvbio.2017.01.013