Hyperspectral near-infrared imaging for the detection of physical damages of pear

Title
Hyperspectral near-infrared imaging for the detection of physical damages of pear
Author(s)
배한홍이왕호[이왕호]김문성[김문성]이훈수[이훈수]Stephen Delwiche[Stephen Delwiche]김대용[김대용]조병관[조병관]
Keywords
BRUISE DETECTION; APPLES; SPECTROSCOPY
Issue Date
201406
Publisher
ELSEVIER SCI LTD
Citation
JOURNAL OF FOOD ENGINEERING, v.130, pp.1 - 7
Abstract
Bruise damage on pears is one of the most crucial internal quality factors, which needs to be detected in postharvest quality sorting processes. Near-infrared imaging techniques (NIR) have effective potentials for identifying and detecting bruises since bruises result in the rupture of internal cell walls due to defects on agricultural materials. In this study, a novel NIR technique, hyperspectral imaging with beyond NIR range of 950-1650 nm, was investigated for detecting bruise damages underneath the pear skin, which has never been examined in the past. A classification algorithm based on F-value was applied for analysis of image to find the optimal waveband ratio for the discrimination of bruises against sound surface. The result demonstrated that the best threshold waveband ratio detected bruises with the accuracy of 92%, illustrating that the hyperspectral infra-red imaging technique with the region beyond NIR could be a potential detection method for pear bruises. (C) 2014 Elsevier Ltd. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/31886http://dx.doi.org/10.1016/j.jfoodeng.2013.12.032
ISSN
0260-8774
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생명공학부 > 생명공학부 > Articles
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