2015
DOI: 10.1117/1.jei.24.4.043008
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Hyperspectral imaging using RGB color for foodborne pathogen detection

Abstract: Abstract. 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 spectr… Show more

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Cited by 10 publications
(8 citation statements)
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“…least squares regression), and deep learning ( 26 , 30 , 53–65 ). Among these approaches, statistical learning using fixed-design linear regression with polynomial expansions offers a highly stable inverse calculation that can transform RGB data to high-resolution spectral data owing to the nature of l 2 norm minimization (Materials and methods) ( 55 , 62 , 81 , 83 , 84 ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…least squares regression), and deep learning ( 26 , 30 , 53–65 ). Among these approaches, statistical learning using fixed-design linear regression with polynomial expansions offers a highly stable inverse calculation that can transform RGB data to high-resolution spectral data owing to the nature of l 2 norm minimization (Materials and methods) ( 55 , 62 , 81 , 83 , 84 ).…”
Section: Resultsmentioning
confidence: 99%
“…The hypercube of the entire area is reconstructed using a statistical learning algorithm (Materials and methods). Fixed-design linear regression, featuring polynomial expansions, is utilized as the method of least squares ( l 2 norm minimization) ( 55 , 62 , 81 , 83 ). A full spectroscopic resolution is achieved in a range of Δ λ = 0.5–1 nm, highly comparable to those of scientific spectrometers or spectrographs.…”
Section: Resultsmentioning
confidence: 99%
“…Traditional techniques based on agar culture media have huge shortcomings in rapid confirmation response and the inability to analyze a large number of samples; another disadvantage is the need to destroy the fruits in order to carry out the planting on the culture media. Moreover, hyperspectral imaging system has emerged as tool to detect bacteria in a considerable reduced time [16].…”
Section: Salmonella Typhimurium Detection Using Hyperspectral Imagingmentioning
confidence: 99%
“…The overall classification performance remained unchanged only for multispectral model. With the same intention to simplify and make the screening (classifying) of non-O157 STEC serogroups more cost-effective, a spectral reconstruction technique for predicting hyperspectral images from RGB color images was developed [45]. In this work, the already developed hyperspectral image classification algorithm(s) [38] [39] [40] were used.…”
Section: Development Of a Visible And Near-infrared Hyperspectral Imamentioning
confidence: 99%