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 Application of Convolutional Neural Network-Based Feature Extraction and Data Fusion for Geographical Origin Identification of Radix Astragali by Visible/Short-Wave Near-Infrared and Near Infrared Hyperspectral Imaging

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4940
Author(s):  
Qinlin Xiao ◽  
Xiulin Bai ◽  
Pan Gao ◽  
Yong He
Keyword(s):  
Neural Network ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Geographical Origin ◽  
Short Wave ◽  
Infrared Range ◽  
Radix Astragali ◽  
Origin Identification ◽  
Level Fusion ◽  
Near Infrared Range

Radix Astragali is a prized traditional Chinese functional food that is used for both medicine and food purposes, with various benefits such as immunomodulation, anti-tumor, and anti-oxidation. The geographical origin of Radix Astragali has a significant impact on its quality attributes. Determining the geographical origins of Radix Astragali is essential for quality evaluation. Hyperspectral imaging covering the visible/short-wave near-infrared range (Vis-NIR, 380–1030 nm) and near-infrared range (NIR, 874–1734 nm) were applied to identify Radix Astragali from five different geographical origins. Principal component analysis (PCA) was utilized to form score images to achieve preliminary qualitative identification. PCA and convolutional neural network (CNN) were used for feature extraction. Measurement-level fusion and feature-level fusion were performed on the original spectra at different spectral ranges and the corresponding features. Support vector machine (SVM), logistic regression (LR), and CNN models based on full wavelengths, extracted features, and fusion datasets were established with excellent results; all the models obtained an accuracy of over 98% for different datasets. The results illustrate that hyperspectral imaging combined with CNN and fusion strategy could be an effective method for origin identification of Radix Astragali.

3D Plant Modelling Using Spectral Data from Visible to Near Infrared Range

2015 ◽  
pp. 273-294
Author(s):  
Ali Zia ◽  
Jie Liang
Keyword(s):  
Hyperspectral Imaging ◽  
Material Properties ◽  
Near Infrared ◽  
Infrared Range ◽  
Plant Surface ◽  
Imaging Device ◽  
Plant Phenomics ◽  
Physical Traits ◽  
Plant Modelling ◽  
Near Infrared Range

Plant phenomics research requires different types of sensors employed to measure the physical traits of plant surface and to estimate the biomass. Of particular interests is the hyperspectral imaging device which captures wavelength indexed band images that characterize material properties of objects under study. This chapter introduces a proof of concept research that builds 3D plant model directly from hyperspectral images captured in a controlled lab environment. The method presented in this chapter allows fine structural-spectral information of an object be captured and integrated into the 3D model, which can be used to support further research and applications. The hyperspectral imaging has shown clear advantages in segmenting plant from its background and is very promising in generating comprehensive 3D plant models.

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 Hyperspectral imaging of the degradation of meat and comparison with necrotic tissue in human wounds

2019 ◽  
Author(s):  
Amadeus Holmer ◽  
Christoph Homberger ◽  
Thomas Wild ◽  
Frank Siemers
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Objective Evaluation ◽  
Infrared Range ◽  
Spectral Features ◽  
Necrotic Tissue ◽  
Tissue Discrimination ◽  
Near Infrared Range ◽  
Imaging Setup

The objective evaluation of scattering tissue and the discrimination of tissue types is an issue that cannot be solved with colour cameras and image processing alone in many cases. Examples can be found in the determination of freshness and ageing of meat, and the discrimination of tissue types in food technology. In medical applications tissue discrimination is also an issue, e.g. in wound diagnostics. A novel hyperspectral imaging setup with powerful signal analysis algorithms is presented which is capable of addressing these topics. The spectral approach allows the chemical analysis of material and tissues and the measurement of their temporal change. We present a method of hyperspectral imaging in the visible-near infrared range which allows both the separation and spatial allocation of different tissue types in a sample, as well as the temporal changes of the tissue as an effect of ageing. To prove the capability of the method, the ageing of meat (slices of pork) was measured and, as a medical example, the application of the hyperspectral imaging setup for the recording of wound tissue is presented. The method shows the ability to discriminate the different tissue components of pork meat, and the ageing of the meat is observable as changes in spectral features. An additional result of our study is the fact that some spectral features, which seem to be typical for the ageing of the meat, are similar to those observed in the necrotic tissue from wound diagnostics in medicine.

Report of the National Institute of Neurological Disorders and Stroke Workshop on Near Infrared Spectroscopy

PEDIATRICS ◽  
1993 ◽  
Vol 91 (2) ◽  
pp. 414-417
Author(s):  
Deborah G. Hirtz
Keyword(s):  
Blood Flow ◽  
Infrared Spectroscopy ◽  
Oxygen Saturation ◽  
Cytochrome Oxidase ◽  
Near Infrared Spectroscopy ◽  
Neurological Disorders ◽  
Near Infrared ◽  
Arterial Oxygen ◽  
Infrared Range ◽  
Near Infrared Range

A workshop about near infrared spectroscopy (NIRS), an emerging technology used to measure cerebral oxygenation and blood flow, was sponsored by the Developmental Neurology Branch, Division of Convulsive, Developmental, and Neuromuscular Disorders of the National Institute of Neurological Disorders and Stroke in Bethesda, MD, on March 31 and April 1, 1992. This was an international work-shop designed to bring together experts in the development of this technology with clinical researchers. Topics covered included the history and background of the development of NIRS technology, experimental models for the use of NIRS, clinical experience with NIRS in the neonate and the intrapartum fetus, and current key research issues with regard to technology and clinical use. THE TECHNOLOGY Near infrared spectroscopy is a new application of an existing technology which can provide information about changes in cerebral oxygen saturation, cerebral blood flow and volume, and oxygen utilization in the brain. The technology has been used for a long time to monitor hemoglobin, but only more recently for cytochrome oxidase. It involves the same basic principle used in the pulse oximeter, which uses light in the visible range to detect changes in finger arterial oxygen saturation. The method is based on the fact that light in the near infrared range (700 to 1000 nm) can pass through skin, bone, and other tissues relatively easily and that there are characteristic absorption bands of oxygenated and deoxygenated hemoglobin, and of the mitochondrial enzyme cytochrome oxidase (or cytochrome AA3) in the near infrared range. When the near infrared beam is passed through tissue, a decrease in signal intensity results from the absorbance of the chromophores in the medium.

scholarly journals Hyperspectral imaging for textile sorting in the visible–near infrared range

2019 ◽  
Author(s):  
Carolina Blanch-Perez-del-Notario ◽  
Wouter Saeys ◽  
Andy Lambrechts
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Hierarchical Classification ◽  
Infrared Range ◽  
Chemical Recycling ◽  
Textile Waste ◽  
Textile Materials ◽  
Material Discrimination ◽  
Sample Set ◽  
Near Infrared Range

Recycling of textile materials is becoming important due to the increasing amount of textile waste and its large environmental impact. The Resyntex project aims at dealing with this textile waste by enabling its chemical recycling. To do so, pure textile materials and blends need to be sorted first. In this paper we evaluate the suitability of hyperspectral imaging for pure and blend textile sorting. We also test the discrimination capacity between denim and non-denim textile, since this is required prior to the de-colouration processes. For this purpose, we use a line-scan sensor in the 450–950 nm range, since its cost, compactness and speed characteristics make it suitable for industrial deployment. To deal with the strong colour interference of the textile a hierarchical classification approach is proposed. The results on the available sample set show promising discrimination potential for material discrimination as well as for denim versus non-denim detection.

scholarly journals Significantly enhanced photoresponse of carbon nanotube films modified with cesium tungsten bronze nanoclusters in the visible to short-wave infrared range

RSC Advances ◽  
2021 ◽  
Vol 11 (63) ◽  
pp. 39646-39656
Author(s):  
Hao Chen ◽  
Junyi Zhu ◽  
Yang Cao ◽  
Jinquan Wei ◽  
Bocheng Lv ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Visible Light ◽  
Composite Film ◽  
Tungsten Bronze ◽  
Infrared Region ◽  
Short Wave ◽  
Infrared Range ◽  
Average Increase ◽  
Specific Detectivity ◽  
Short Wave Infrared

Compared with CNT film detectors, the CsxWO3–CNT composite film detector shows a significantly enhanced photoresponse from visible light to short-wave infrared region, with an average increase of 400% in responsivity and 549% in specific detectivity.

3D Plant Modelling Using Spectral Data From Visible to Near Infrared Range

2018 ◽  
pp. 1904-1925
Author(s):  
Ali Zia ◽  
Jie Liang
Keyword(s):  
Hyperspectral Imaging ◽  
Material Properties ◽  
Near Infrared ◽  
Infrared Range ◽  
Plant Surface ◽  
Imaging Device ◽  
Plant Phenomics ◽  
Physical Traits ◽  
Plant Modelling ◽  
Near Infrared Range

Plant phenomics research requires different types of sensors employed to measure the physical traits of plant surface and to estimate the biomass. Of particular interests is the hyperspectral imaging device which captures wavelength indexed band images that characterize material properties of objects under study. This chapter introduces a proof of concept research that builds 3D plant model directly from hyperspectral images captured in a controlled lab environment. The method presented in this chapter allows fine structural-spectral information of an object be captured and integrated into the 3D model, which can be used to support further research and applications. The hyperspectral imaging has shown clear advantages in segmenting plant from its background and is very promising in generating comprehensive 3D plant models.

Spectroscopy with a Light Optical Microscope

2012 ◽  
Vol 21 (1) ◽  
pp. 22-26
Author(s):  
Paul Martin
Keyword(s):  
Near Infrared ◽  
Emission Spectra ◽  
Infrared Region ◽  
Optical Microscope ◽  
Infrared Range ◽  
Molecular Spectra ◽  
Light Optical Microscope ◽  
Deep Ultraviolet ◽  
Uv Visible ◽  
Near Infrared Range

The microspectrophotometer can be described as a type of hyphenated instrument: it is a hybrid that combines the magnifying power of a light microscope with a UV-visible-NIR (ultraviolet–visible–near infrared) range spectrophotometer. These instruments are used to measure the molecular spectra from microscopic samples, from the deep ultraviolet to the near infrared region. Microspectrophotometers can be configured in many different ways and used to measure absorbance, reflectance, and even emission spectra, such as fluorescence, of sub-micron-sized sample areas. With the addition of specialized algorithms, the microspectrophotometer can also be used to measure the thickness of thin films or to act as a colorimeter for microscopic samples.

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