A data fusion detection method for fish freshness based on computer vision and near-infrared spectroscopy

2016 ◽  
Vol 8 (14) ◽  
pp. 2929-2935 ◽  
Author(s):  
Xingyi Huang ◽  
Haixia Xu ◽  
Lei Wu ◽  
Huang Dai ◽  
Liya Yao ◽  
...  
Keyword(s):  
Computer Vision ◽  
Infrared Spectroscopy ◽  
Data Fusion ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Detection Method ◽  
Spectroscopic Techniques ◽  
Fusion Detection

This article proposes and describes a data fusion detection method based on computer vision and spectroscopic techniques for fish freshness classification.

Fast Non-Destructive Detection of Wool Content in Blended Fabrics Based on Near-Infrared Spectroscopy Technology

2015 ◽  
Vol 671 ◽  
pp. 356-362 ◽  
Author(s):  
Zhi Feng Chen ◽  
Yuan Quan Hong ◽  
Chang Jiang Wan ◽  
Lian Ying Zhao
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Detection Method ◽  
Quantitative Model ◽  
National Standard ◽  
Fast Detection ◽  
Significant Difference ◽  
Validation Set ◽  
Non Destructive

A fast non-destructive method of detection of wool content in blended fabrics was studied based on Near Infrared spectroscopy technology in order to avoid the time-consuming, tedious work and the destruction of samples in the traditional inspection. 621 wool/nylon, wool/polyester and wool/nylon/polyester blended fabrics were taken as research objects. To get the wool content, we established the wool near-infrared quantitative model by partial least squares (PLS) method after analyzing the color and composition of the samples. For verifying the validity and practicability of the model, 100 samples were chosen as an independent validation set. The variance analysis shows that there is no significant difference between Near Infrared fast detection method and national standard method (GB/T2910-2009),which indicates that this method is expected to be a means of fast non-destructive detection and will have extensive application future in the field of wool content detection.

Rapid measurement of total polyphenols content in cocoa beans by data fusion of NIR spectroscopy and electronic tongue

2014 ◽  
Vol 6 (14) ◽  
pp. 5008-5015 ◽  
Author(s):  
Xingyi Huang ◽  
Ernest Teye ◽  
Livingstone K. Sam-Amoah ◽  
Fangkai Han ◽  
Liya Yao ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Data Fusion ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Electronic Tongue ◽  
Nir Spectroscopy ◽  
Cocoa Beans ◽  
Total Polyphenols ◽  
Rapid Measurement ◽  
Novel Approach

This work measures the total polyphenols content in cocoa beans by using a novel approach of integrating near infrared spectroscopy and electronic tongue, 110 samples of cocoa beans were analysed.

scholarly journals Ancient human bones studied and compared by near infrared spectroscopy, thermogravimetry and chemometrics

2018 ◽  
Vol 27 (1) ◽  
pp. 6-14 ◽  
Author(s):  
Alessandra Biancolillo ◽  
Mauro Tomassetti ◽  
Remo Bucci ◽  
Simona Izzo ◽  
Francesca Candilio ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Infrared Spectroscopy ◽  
Data Fusion ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Principal Component ◽  
Component Analysis ◽  
Human Bones ◽  
Fusion Approach ◽  
Ancient Human Bones

Near infrared spectroscopy and thermogravimetry have been coupled with chemometric exploratory methods in order to investigate ancient (pre-Roman/Roman) human bones from two different necropolises in Central-South Italy (Cavo degli Zucchi and Elea Velia). These findings have been investigated by principal component analysis and they have also been compared with ancient human bones from two Sudanese necropolises (Saggai and Geili). Samples coming from African and European necropolises, mainly differ in two aspects: the burial procedures and their historical period. The ritual applied in the European region involved cremation, while the one applied in the African necropolises did not. Bones from Italian sites (Cavo degli Zucchi and Elea Velia) are Pre-Roman/Roman while the others (from middle Nile) come from the Prehistoric, Meroitic, and Christian Sudanese age. Near infrared spectroscopy and thermogravimetric measures have been analysed either individually or by a mid-level data-fusion approach. Principal component analysis of the near infrared spectroscopy data allowed differentiation between burnt and unburnt samples, while from the scores plots extracted from the principal component analysis model based on the entire derived thermograms, it was possible to recognize the different clusters related to the various dating of samples. The data-fusion analysis led to considerations similar to those obtained from the model based on thermogravimetry data. Finally, instead of inspecting the entire thermogravimetry curves, principal component analysis was carried out on carbonates, total collagen and water losses only. In this case, the data-fusion approach has led to extremely interesting results; in fact, this model clearly shows that samples group in separate clusters in agreement with their age and the different burial rituals.

Authentication of raw and cooked freeze-dried rainbow trout (Oncorhynchus mykiss) by means of near infrared spectroscopy and data fusion

2014 ◽  
Vol 60 ◽  
pp. 180-188 ◽  
Author(s):  
Antonella Dalle Zotte ◽  
Matteo Ottavian ◽  
Anna Concollato ◽  
Lorenzo Serva ◽  
Roberta Martelli ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Rainbow Trout ◽  
Data Fusion ◽  
Oncorhynchus Mykiss ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Rainbow Trout Oncorhynchus Mykiss ◽  
Freeze Dried
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