scholarly journals Characterization of the evolution of indigo blue by multispectral imaging

2021 ◽  
Author(s):  
Natalia Tello Burgos ◽  
Ana López‐Montes ◽  
Eva M. Valero ◽  
Juan Luis Nieves ◽  
Mª Rosario Blanc
Keyword(s):  
Multispectral Imaging ◽  
Indigo Blue

scholarly journals Multispectral and X-ray Images for Characterization of Jatropha Curcas L. Seed Quality

2020 ◽  
Author(s):  
Vitor J Bianchini ◽  
Gabriel M Mascarin ◽  
Lúcia CAS Silva ◽  
Valter Arthur ◽  
Jean M Carstensen ◽  
...  
Keyword(s):  
Jatropha Curcas ◽  
Multispectral Imaging ◽  
Seed Quality ◽  
Strong Relationship ◽  
Biodiesel Production ◽  
Alternative Methods ◽  
Quality Analysis ◽  
X Ray ◽  
Jatropha Seed

Abstract Background: Jatropha curcas is an oilseed plant with great potential for biodiesel production. In agricultural industry, the seed quality is still estimated by manual inspection, using destructive, time-consuming and subjective tests that depend on the seed analyst experience. Recent advances in machine vision combined with artificial intelligence algorithms can provide spatial and spectral information for characterization of biological images, reducing subjectivity and optimizing the analysis process.Results: We present a new method for automatic characterization of jatropha seed quality, based on multispectral imaging (MSI) combined with X-ray imaging. We propose an approach along with X-ray images in order to investigate internal problems such as damages in the embryonic axis and endosperm, considering the fact that seed surface profiles can be negatively affected, but without reaching important internal regions of the seeds. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to classify spatial and spectral patters according to the classes of seed quality. Spectral reflectance signatures in a range of 780 to 970 nm and the X-ray images can efficiently predict quality traits such as normal seedlings, abnormal seedlings and dead seeds.Conclusions: MSI and X-ray images have a strong relationship with physiological performance of Jatropha curcas L. These techniques can be alternative methods for rapid, efficient, sustainable and non-destructive characterization of jatropha seed quality in the future, overcoming the intrinsic subjectivity of the conventional seed quality analysis.

scholarly journals Multispectral Imaging Enables Characterization of Intrahepatic Macrophages in Patients With Chronic Liver Disease

2020 ◽  
Vol 4 (5) ◽  
pp. 708-723 ◽  
Author(s):  
Omar A. Saldarriaga ◽  
Benjamin Freiberg ◽  
Santhoshi Krishnan ◽  
Arvind Rao ◽  
Jared Burks ◽  
...  
Keyword(s):  
Liver Disease ◽  
Chronic Liver Disease ◽  
Multispectral Imaging ◽  
Chronic Liver

Analysis of Blue Discharges in Thunderclouds

2020 ◽  
Author(s):  
Krystallia Dimitriadou ◽  
Olivier Chanrion ◽  
Torsten Neubert ◽  
Matthias Heumesser ◽  
Alain Protat ◽  
...  
Keyword(s):  
Emission Line ◽  
Temporal Resolution ◽  
Multispectral Imaging ◽  
Optical Analysis ◽  
Electrical Discharges ◽  
Imaging Array ◽  
Lightning Leader ◽  
Radar Measurements ◽  
Imaging Sensor

<p>The Modular Multispectral Imaging Array (MMIA) of the Atmosphere-Space Interactions Monitor (ASIM) contains 3 photometers and 2 cameras, that monitors electrical discharges in and above thunderstorms. The 3 photometers sample in the bands:  337/4 nm, the VUV band 180-230 nm and 777.4/5 nm at 100 kHz; and the 2 cameras record in the bands 337/5 nm and 777.4/3 nm, with a temporal resolution of 12 frames per second. The 337 nm band corresponds to the strongest line of N<sub>2</sub>2P, the VUV band include part of the N2 LBH and the 777.4 nm band corresponds to the OI line which is the strongest emission line of lightning leader channel. Here, we analyse observations of flashes that are predominantly blue. We will discuss the leader/streamer nature of these flashes. The analysis incorporates satellite cloud observations and weather radar measurements for the characterization of the thunderstorm clouds and their phase of development. In our optical analysis we incorporate also comparisons with data from NASA’s Lightning Imaging Sensor on the ISS (ISS-LIS) and VAISALA’s lightning location network GLD360.</p>

Testing and characterization of a multispectral imaging Fabry-Perot interferometer for tropospheric trace species detection

2006 ◽  
Author(s):  
Allen M. Larar ◽  
William B. Cook ◽  
Carl S. Mills ◽  
Michael A. Flood ◽  
Ernest E. Burcher ◽  
...  
Keyword(s):  
Multispectral Imaging ◽  
Species Detection ◽  
Trace Species ◽  
Fabry Perot

scholarly journals Multispectral Imaging and p-XRF for the Non-Invasive Characterization of the Anonymous Devotional Painting ‘Maria Santissima delle Grazie’ from Mirabella Imbáccari (Sicily, Italy)

Heritage ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 2320-2336
Author(s):  
Antonella Privitera ◽  
Maria Francesca Alberghina ◽  
Elèna Privitera ◽  
Salvatore Schiavone
Keyword(s):  
Multispectral Imaging ◽  
Chemical Elements ◽  
Imaging Techniques ◽  
Religious Community ◽  
Oil Painting ◽  
Spectrometry Analysis ◽  
Non Invasive ◽  
Madonna And Child

This work presents the results of the in situ, non-invasive diagnostic investigations performed on the canvas oil painting depicting Madonna and Child, venerated as ‘Maria Santissima delle Grazie’ by the local religious community. The work of art (72 cm × 175 cm) is located on the high altar of the main Church in Mirabella Imbáccari, near Catania (Sicily, Italy). The painter is anonymous, and the supposed dating is the late eighteenth century. Although the painting has never been studied before, it has been attributed to a Sicilian workshop in the literature, raising the doubts of the art historian who conducted this study and who hypothesized a Neapolitan manufacture. Furthermore, due to the good conservation state detected by a macroscopic examination, doubts also arose about dating. To shed light on these aspects, a technical-scientific examination proved necessary. Multispectral imaging techniques (IR Reflectography, UV-induced visible Fluorescence, X-ray) are carried out for the study of the execution technique, the identification of underlying remakes, sketch drawing and the evaluation of the conservation conditions. XRF spectrometry analysis is performed for the identification of the chemical elements constituting the pigments (inorganic chromophores). The diagnostic results allowed this research to confirm the dating suggested by the historical-stylistic knowledge and to highlight new technical peculiarities supporting the attribution to a Neapolitan workshop.

scholarly journals SPECTRAL CHARACTERIZATION OF A CLOSED CANOPY AND OPEN CANOPY FOREST IN NORTHERN SIERRA MADRE NATURAL PARK

2019 ◽  
Vol XLII-4/W19 ◽  
pp. 463-469
Author(s):  
C. Vidad ◽  
C. J. Sarmiento ◽  
C. M. Arellano ◽  
R. A. Faelga ◽  
R. Lopez ◽  
...  
Keyword(s):  
Multispectral Imaging ◽  
The Philippines ◽  
Spectral Characterization ◽  
Spatial Extent ◽  
Local Context ◽  
Open Canopy ◽  
Sierra Madre ◽  
Closed Canopy ◽  
Forest Lands

Abstract. Forest lands play crucial roles in nutrient recycling and climate regulation. The change of closed canopy forests to open canopy forests may indicate disturbance within the closed canopy forest. Within the local context of the Philippines, few studies have been conducted to monitor changes in closed canopy forest lands. Efforts to do so are limited by the spatial extent, remoteness and ruggedness of closed canopy forests. Satellite imagery can cover the spatial extent of forest lands as well as provide constant revisit periods for monitoring. However, while multispectral imaging can detect changes in land cover, it has limitations when detecting the subtler change from closed canopy to open canopy forest cover. This study aims to provide baseline spectral characterization of a closed canopy forest in the Philippines. For this study, a hyperspectral sensor (EO1-Hyperion) with 198 band channels ranging from 426.82 nm to 2395.50 nm and a pixel size of 30 m was used to characterize the spectral variations of closed canopy forest, open canopy forest, shrubs and cropland in Northern Sierra Madre, Philippines. Multiple endmember spectral mixture analysis (MESMA) was employed to sort the image into classes as well as to characterize intra-spectral variations among the identified classes. Spectral library endmembers were assembled, optimized and used to classify the image. The spectral libraries were optimized by using Endmember Average Root Mean Square Error (EAR) , Minimum Average Spectral Angle (MASA) and Iterative Endmember Selection (IES). Results overall agreement is 0.56 for EAR and IES and kappa coefficient is at 0.4.

Polarized Multispectral Imaging for the Diagnosis of Skin Cancer

2019 ◽  
Vol 2019 (1) ◽  
pp. 381-385
Author(s):  
Laura Rey-Barroso ◽  
Francisco J. Burgos-Fernández ◽  
Santiago Royo ◽  
Susana Puig ◽  
Josep Malvehy ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Gold Standard ◽  
Multispectral Imaging ◽  
False Positives ◽  
Spectral Features ◽  
Imaging Device ◽  
Preliminary Results ◽  
Non Invasive ◽  
Comprehensive Characterization

The effective and non-invasive diagnosis of skin cancer is a hot topic in biophotonics since the current gold standard, a biopsy, is slow and costly. Non-invasive optical techniques such as polarization and multispectral imaging have arisen as powerful tools to overcome these constraints. The combination of these techniques provides a comprehensive characterization of skin chromophores including polarization, color and spectral features. Hence, in this work we propose a polarized multispectral imaging device that works from 414 nm to 995 nm and at 0º, 45º and 90º polarization configurations. Preliminary results performed over 20 nevi and 20 melanoma found statistically significant descriptors (p<0.05) that discriminated between these two lesion etiologies. A further analysis of more lesions is expected to contribute in reducing the false positives during the diagnosis process and, as a consequence, the number of necessary biopsies.

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