10 August 2015 Hyperspectral imaging using RGB color for foodborne pathogen detection
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This paper reports the development of a spectral reconstruction technique for predicting hyperspectral images from RGB color images and classifying food-borne pathogens in agar plates using reconstructed hyperspectral images. The six representative non-O157 Shiga-toxin producing Escherichia coli (STEC) serogroups (O26, O45, O103, O111, O121, and O145) grown on Rainbow agar plates were used for the study. A line-scan pushbroom hyperspectral imaging spectrometer was used to scan full reflectance spectra of pure non-O157 STEC cultures in the visible and near-infrared spectral range from 400 to 1000 nm. RGB color images were generated by simulation from hyperspectral images. Polynomial multivariate least-squares regression analysis was used to reconstruct hyperspectral images from RGB color images. The mean R-squared value for hyperspectral image reconstruction was ∼0.98 in the spectral range between 400 and 700 nm for linear, quadratic, and cubic polynomial regression models. The accuracy of the hyperspectral image classification algorithm based on k-nearest neighbors algorithm of principal component scores was validated to be 92% with the test set (99% with the original hyperspectral images). The results of the study suggested that color-based hyperspectral imaging would be feasible without much loss of prediction accuracy compared to true hyperspectral imaging.
Yoon, Shin, Lawrence, Heitschmidt, Park, and Gamble: Hyperspectral imaging using RGB color for foodborne pathogen detection
© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Seung-Chul Yoon, Seung-Chul Yoon, Tae-Sung Shin, Tae-Sung Shin, Kurt C. Lawrence, Kurt C. Lawrence, Gerald W. Heitschmidt, Gerald W. Heitschmidt, Bosoon Park, Bosoon Park, Gary R. Gamble, Gary R. Gamble, } "Hyperspectral imaging using RGB color for foodborne pathogen detection," Journal of Electronic Imaging 24(4), 043008 (10 August 2015). https://doi.org/10.1117/1.JEI.24.4.043008 . Submission:

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