Detection of Hidden Bruise on Kiwi fruit Using Hyperspectral Imaging and Parallelepiped Classification

It is necessary to develop non-destructive detection techniques of kiwi fruit because machine injury could lower the quality of fruit and incur economic losses. Owing to the special physical properties of kiwi fruit peel, the bruises are not visible externally. Its could not be effectively inspected...

Full description

Saved in:
Bibliographic Details
Published in:Procedia environmental sciences 2012, Vol.12, p.1172-1179
Main Authors: Lü, Qiang, Tang, Mingjie
Format: Article
Language:English
Subjects:
Detection
Hidden bruise
Hyperspectral imaging
Kiwi fruit
Parallelepiped classification
Principal component analysis (PCA)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:It is necessary to develop non-destructive detection techniques of kiwi fruit because machine injury could lower the quality of fruit and incur economic losses. Owing to the special physical properties of kiwi fruit peel, the bruises are not visible externally. Its could not be effectively inspected using conventional non-destructive detection technology. We proposed the hyperspectral imaging technique to inspect the hidden bruises on kiwi fruit in this work. The Vis/NIR (408-1117nm) hyperspectral image data was collected. The top four component images were obtained from the data which ranged from 600 to 1000nm using principal component analysis, and the bruise regions were extracted from the component images using parallelepiped classification. The experimental results show that the error of detecting hidden bruises on fruits with hyperspectral imaging was 14.5%.
ISSN:1878-0296
1878-0296
DOI:10.1016/j.proenv.2012.01.404