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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Early detection of apple bruises on different background colors using hyperspectral imaging
LWT, Volume 41, No. 2, Year 2008
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Description
The potentials of a hyperspectral imaging system were investigated for early detection of bruises on 'McIntosh' apples. A hyperspectral imaging system was developed based on a spectral region between 400 and 1000 nm. Partial least squares method and stepwise discrimination analysis were used for data dimensionality reduction and selecting the effective wavelengths. Three effective wavelengths in the near infrared region (750, 820, 960 nm) were selected to realize multispectral imaging tests. The classification results indicated that the bruised apples were successfully distinguished from the sound apples. The accuracy of the system is superior to detect bruise after 1 h of bruising. © 2007 Swiss Society of Food Science and Technology.
Authors & Co-Authors
ElMasry, Gamal
Canada, Sainte-anne-de-bellevue
Mcgill University, Macdonald Campus
Egypt, Ismailia
Faculty of Agriculture
Wang, Ning
Canada, Sainte-anne-de-bellevue
Mcgill University, Macdonald Campus
Vigneault, Clément
Canada, Ottawa
Agriculture and Agri-food Canada
Qiao, Jun
Canada, Sainte-anne-de-bellevue
Mcgill University, Macdonald Campus
ElSayed, Adel
Egypt, Ismailia
Faculty of Agriculture
Statistics
Citations: 251
Authors: 5
Affiliations: 3
Identifiers
Doi:
10.1016/j.lwt.2007.02.022
ISSN:
00236438
Research Areas
Food Security