scholarly journals Detection of Foreign Materials on Broiler Breast Meat Using a Fusion of Visible Near-Infrared and Short-Wave Infrared Hyperspectral Imaging

2021 ◽  
Vol 11 (24) ◽  
pp. 11987
Author(s):  
Soo Chung ◽  
Seung-Chul Yoon
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Short Wave ◽  
Fusion Model ◽  
Breast Meat ◽  
Detection Rates ◽  
Study Results ◽  
Processing Plants ◽  
Short Wave Infrared ◽  
Broiler Breast

Foreign material (FM) found on a poultry product lowers the quality and safety of the product. We developed a fusion method combining two hyperspectral imaging (HSI) modalities in the visible-near infrared (VNIR) range of 400–1000 nm and the short-wave infrared (SWIR) range of 1000–2500 nm for the detection of FMs on the surface of fresh raw broiler breast fillets. Thirty different types of FMs that could be commonly found in poultry processing plants were used as samples and prepared in two different sizes (5 × 5 mm2 and 2 × 2 mm2). The accuracies of the developed Fusion model for detecting 2 × 2 mm2 pieces of polymer, wood, and metal were 95%, 95%, and 81%, respectively, while the detection accuracies of the Fusion model for detecting 5 × 5 mm2 pieces of polymer, wood, and metal were all 100%. The performance of the Fusion model was higher than the VNIR- and SWIR-based detection models by 18% and 5%, respectively, when F1 scores were compared, and by 38% and 5%, when average detection rates were compared. The study results suggested that the fusion of two HSI modalities could detect FMs more effectively than a single HSI modality.

Comparison of Visible–Near Infrared and Short Wave Infrared hyperspectral imaging for the evaluation of rainbow trout freshness

2014 ◽  
Vol 56 ◽  
pp. 25-34 ◽  
Author(s):  
Mostafa Khojastehnazhand ◽  
Mohammad Hadi Khoshtaghaza ◽  
Barat Mojaradi ◽  
Masoud Rezaei ◽  
Mohammad Goodarzi ◽  
...  
Keyword(s):  
Rainbow Trout ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Short Wave ◽  
Short Wave Infrared

scholarly journals Surface Investigation of Photo-Degraded Wood by Colour Monitoring, Infrared Spectroscopy, and Hyperspectral Imaging

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Giorgia Agresti ◽  
Giuseppe Bonifazi ◽  
Luca Calienno ◽  
Giuseppe Capobianco ◽  
Angela Lo Monaco ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Infrared Region ◽  
Short Wave ◽  
Infrared Range ◽  
Surface Chemical ◽  
Colour Changes ◽  
Short Wave Infrared ◽  
Near Infrared Range

The aim of this investigation is to study the changes occurring on the surface of poplar wood exposed to artificial irradiation in a Solar Box. Colour changes were monitored with a reflectance spectrophotometer. Surface chemical modifications were evaluated by measuring the infrared spectra. Hyperspectral imaging was also applied to study the surface wood changes in the visible-near infrared and the short wave infrared wavelength ranges. The data obtained from the different techniques were compared to find the possible correlations in order to evaluate the applicability of the Hyperspectral imaging to investigate wood modifications in a non-invasive modality. The study of colour changes showed an important variation due to photo-irradiation which is the greatest change occurring within the first 24 hours. Infrared spectroscopy revealed that lignin degrades mainly in the first 48 hours. Concerning Hyperspectral imaging, the spectral features in the visible-near infrared range are mainly linked to the spectral shape, whereas in the short wave infrared cellulose and lignin affect shape and reflectance levels. The proposed approach showed that a correlation can be established between colour variation and wood degradation in the visible-near infrared range; furthermore in the short wave infrared region surface chemical changes can be assessed.

scholarly journals Comparison of Hyperspectral Imaging and Near-Infrared Spectroscopy to Determine Nitrogen and Carbon Concentrations in Wheat

2021 ◽  
Vol 13 (6) ◽  
pp. 1128
Author(s):  
Iman Tahmasbian ◽  
Natalie K Morgan ◽  
Shahla Hosseini Bai ◽  
Mark W Dunlop ◽  
Amy F Moss
Keyword(s):  
Infrared Spectroscopy ◽  
Hyperspectral Imaging ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Economic Benefits ◽  
Partial Least Square ◽  
Least Square ◽  
Statistical Population ◽  
Processing Plants ◽  
C And N

Hyperspectral imaging (HSI) is an emerging rapid and non-destructive technology that has promising application within feed mills and processing plants in poultry and other intensive animal industries. HSI may be advantageous over near infrared spectroscopy (NIRS) as it scans entire samples, which enables compositional gradients and sample heterogenicity to be visualised and analysed. This study was a preliminary investigation to compare the performance of HSI with that of NIRS for quality measurements of ground samples of Australian wheat and to identify the most important spectral regions for predicting carbon (C) and nitrogen (N) concentrations. In total, 69 samples were scanned using an NIRS (400–2500 nm), and two HSI cameras operated in 400–1000 nm (VNIR) and 1000–2500 nm (SWIR) spectral regions. Partial least square regression (PLSR) models were used to correlate C and N concentrations of 63 calibration samples with their spectral reflectance, with 6 additional samples used for testing the models. The accuracy of the HSI predictions (full spectra) were similar or slightly higher than those of NIRS (NIRS Rc2 for C = 0.90 and N = 0.96 vs. HSI Rc2 for C (VNIR) = 0.97 and N (SWIR) = 0.97). The most important spectral region for C prediction identified using HSI reflectance was 400–550 nm with R2 of 0.93 and RMSE of 0.17% in the calibration set and R2 of 0.86, RMSE of 0.21% and ratio of performance to deviation (RPD) of 2.03 in the test set. The most important spectral regions for predicting N concentrations in the feed samples included 1451–1600 nm, 1901–2050 nm and 2051–2200 nm, providing prediction with R2 ranging from 0.91 to 0.93, RMSE ranging from 0.06% to 0.07% in the calibration sets, R2 from 0.96 to 0.99, RMSE of 0.06% and RPD from 3.47 to 3.92 in the test sets. The prediction accuracy of HSI and NIRS were comparable possibly due to the larger statistical population (larger number of pixels) that HSI provided, despite the fact that HSI had smaller spectral range compared with that of NIRS. In addition, HSI enabled visualising the variability of C and N in the samples. Therefore, HSI is advantageous compared to NIRS as it is a multifunctional tool that poses many potential applications in data collection and quality assurance within feed mills and poultry processing plants. The ability to more accurately measure and visualise the properties of feed ingredients has potential economic benefits and therefore additional investigation and development of HSI in this application is warranted.

Plasmon Coupled Colloidal Gold Nanorods for Near‐Infrared and Short‐Wave‐Infrared Broadband Photodetection

2021 ◽  
pp. 2101217
Author(s):  
Hengyang Xiang ◽  
Zhelu Hu ◽  
Chenghao Xin ◽  
Hung‐Ju Lin ◽  
Lionel Aigouy ◽  
...  
Keyword(s):  
Gold Nanorods ◽  
Colloidal Gold ◽  
Near Infrared ◽  
Short Wave ◽  
Short Wave Infrared

Red/near-infrared/short-wave infrared multi-band persistent luminescence in Pr3+-doped persistent phosphors

2017 ◽  
Vol 46 (34) ◽  
pp. 11149-11153 ◽  
Author(s):  
Yanjie Liang ◽  
Feng Liu ◽  
Yafei Chen ◽  
Xianli Wang ◽  
Kangning Sun ◽  
...  
Keyword(s):  
Near Infrared ◽  
Short Wave ◽  
Persistent Luminescence ◽  
Short Wave Infrared ◽  
Multi Band

MgGeO3:Pr3+ and CdSiO3:Pr3+ red/near-infrared/short-wave infrared multi-band persistent phosphors exhibit long-lasting (>120 h) afterglow at 625 nm, 900 nm and 1085 nm.

scholarly journals Bedside hyperspectral imaging for the evaluation of microcirculatory alterations in perioperative intensive care medicine: a study protocol for an observational clinical pilot study (HySpI-ICU)

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e035742 ◽  
Author(s):  
Maximilian Dietrich ◽  
Sebastian Marx ◽  
Thomas Bruckner ◽  
Felix Nickel ◽  
Beat Peter Müller-Stich ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Organ Dysfunction ◽  
Pancreatic Surgery ◽  
Near Infrared ◽  
Haemodynamic Monitoring ◽  
Healthy Controls ◽  
Study Results ◽  
Infrared Spectral ◽  
Registration Number ◽  
Tissue System

IntroductionNormalisation of macrocirculatory parameters during resuscitation therapy does not guarantee the restoration of microcirculatory perfusion in critical illness due to haemodynamic incoherence. Persistent microcirculatory abnormalities are associated with severity of organ dysfunction and mandate the development of bedside microcirculatory monitoring. A novel hyperspectral imaging (HSI) system can visualise changes in skin perfusion, oxygenation and water content at the bedside. We aim to evaluate the effectiveness of HSI for bedside monitoring of skin microcirculation and the association of HSI parameters with organ dysfunction in patients with sepsis and major abdominal surgery.Methods and analysisThree independent groups will be assessed and separately analysed within a clinical prospective observational study: (1) 25 patients with sepsis or septic shock (according to sepsis-3 criteria), (2) 25 patients undergoing pancreatic surgery and (3) 25 healthy controls. Patients with sepsis and patients undergoing pancreatic surgery will receive standard therapy according to local protocols derived from international guidelines. In addition, cardiac output of perioperative patients and patients with sepsis will be measured. Healthy controls undergo one standardised evaluation. The TIVITA Tissue System is a novel HSI system that uses the visible and near-infrared spectral light region to determine tissue microcirculatory parameters. HSI analysis (hand/knee) will be done in parallel to haemodynamic monitoring within defined intervals during a 72-hour observation period. HSI data will be correlated with the Sequential Organ Failure Assessment score, global haemodynamics, inflammation and glycocalyx markers, surgical complications and 30-day outcome.Ethics and disseminationThe protocol has been approved by the local ethics committee of the University of Heidelberg (S-148/2019). Study results will be submitted to peer-reviewed journals and medical conferences.Trial registration numberDRKS00017313; Pre-results.

Performance characteristics of planar ion-implantation isolated heterojunction, near-infrared, and short-wave infrared HgCdTe devices

2004 ◽  
Vol 33 (6) ◽  
pp. 615-620 ◽  
Author(s):  
S. Terterian ◽  
M. Chu ◽  
S. Mesropian ◽  
H. Gurgenian ◽  
J. D. Benson ◽  
...  
Keyword(s):  
Ion Implantation ◽  
Near Infrared ◽  
Short Wave ◽  
Performance Characteristics ◽  
Short Wave Infrared

Rapid assessment of corn seed viability using short wave infrared line-scan hyperspectral imaging and chemometrics

2018 ◽  
Vol 255 ◽  
pp. 498-507 ◽  
Author(s):  
Collins Wakholi ◽  
Lalit Mohan Kandpal ◽  
Hoonsoo Lee ◽  
Hyungjin Bae ◽  
Eunsoo Park ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Rapid Assessment ◽  
Seed Viability ◽  
Short Wave ◽  
Corn Seed ◽  
Line Scan ◽  
Short Wave Infrared
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