Articles
ONLINE HYPERSPECTRAL LINE-SCAN FLUORESCENCE IMAGING FOR SAFETY INSPECTION OF APPLES
Article number
768_50
Pages
385 – 390
Language
English
Abstract
A recently developed fast hyperspectral line-scan imaging system integrated with a commercial apple-sorting machine was evaluated for rapid detection of animal faeces matter on apples online.
Golden Delicious apples obtained from a local orchard were artificially contaminated with thin smear of cow faeces.
For the online trial, hyperspectral fluorescence images of 30 contiguous spectral channels from 400 to 700 nm were acquired from samples moving at a processing sorting-line speed of three apples per second.
Based on fluorescence ratio as a multispectral image fusion method, a 100% detection rate (118 out of 118 faeces treated apples) with no false positives (0 out of 120 apples, 60 wholesome and 60 apples with defects acquired prior to the faeces treatment) were achieved.
Golden Delicious apples obtained from a local orchard were artificially contaminated with thin smear of cow faeces.
For the online trial, hyperspectral fluorescence images of 30 contiguous spectral channels from 400 to 700 nm were acquired from samples moving at a processing sorting-line speed of three apples per second.
Based on fluorescence ratio as a multispectral image fusion method, a 100% detection rate (118 out of 118 faeces treated apples) with no false positives (0 out of 120 apples, 60 wholesome and 60 apples with defects acquired prior to the faeces treatment) were achieved.
Authors
M.S. Kim, Yud-Ren Chen, Byoung-Kwan Cho, A.M. Lefcourt, Kuanglin Chao, Chun-Chieh Yang
Keywords
fluorescence imaging, hyperspectral imaging, multispectral imaging, faecal contamination, online inspection, apples
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