Search results for "Multispectral"

showing 10 items of 242 documents

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis.

2021

Melanoma is a melanocytic tumor that is responsible for the most skin cancer-related deaths. By contrast, seborrheic keratosis (SK) is a very common benign lesion with a clinical picture that may resemble melanoma. We used a multispectral imaging device to distinguish these two entities, with the use of autofluorescence imaging with 405 nm and diffuse reflectance imaging with 525 and 660 narrow-band LED illumination. We analyzed intensity descriptors of the acquired images. These included ratios of intensity values of different channels, standard deviation and minimum/maximum values of intensity of the lesions. The pattern of the lesions was also assessed with the use of particle analysis. …

Seborrheic keratosisMedicine (General)diagnosisClinical BiochemistryMultispectral image01 natural sciencesArticleautofluorescence imaging010309 optics030207 dermatology & venereal diseases03 medical and health sciencesR5-9200302 clinical medicinediffuse reflectance imaging0103 physical sciencesmelanomaMedicineLed illuminationquantitative analysisbusiness.industryMelanomaLEDBenign lesionmedicine.diseaseIntensity (physics)Autofluorescencemelanoma; seborrheic keratosis; autofluorescence imaging; LED; dermoscopy; quantitative analysis; diffuse reflectance imaging; diagnosisseborrheic keratosisImaging techniquedermoscopybusinessNuclear medicineDiagnostics (Basel, Switzerland)
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Skin cancer screening – better safe than sorry

2020

Skin cancer is the most common type of cancers. In Latvia, on average there are approximately 200 new melanoma and 1300 non-melanoma cancer cases per year. Non-melanoma cancers are: Basal Cell Carcinoma, Squamous Cell Carcinoma and others. It is essential to discover skin cancer at an early stage when it is treatable. For this reason, a reliable, non-invasive and quantitative skin cancer screening method is necessary in order to discover skin cancer as early as possible and to help physicians such as general practitioners and dermatologists assign patients to the best treatment as soon as possible. In this article, the current skin cancer incidence as well as the screening situation in Latv…

Seborrheic keratosismedicine.medical_specialtymultispectralnon-invasive01 natural sciences010309 opticslcsh:Social Sciences03 medical and health sciences0103 physical sciencesmedicinemelanomadiagnosticsBasal cell carcinomaStage (cooking)030304 developmental biology0303 health sciencesSkin cancer screeningintegumentary systemskin cancerbusiness.industryIncidence (epidemiology)MelanomascreeningCancerimagingmedicine.diseaseDermatologylcsh:HSkin cancerbusinessSHS Web of Conferences
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A Comparative Study and an Evaluation Framework of Multi/Hyperspectral Image Compression

2009

In this paper, we investigate different approaches for multi/hyperspectral image compression. In particular, we compare the classic multi-2D compression approach and two different implementations of 3D approach (full 3D and hybrid) with regards to variations in spatial and spectral dimensions. All approaches are combined with a weighted Principal Component Analysis (PCA) decorrelation stage to optimize performance. For consistent evaluation, we propose a larger comparison framework than the conventionally used PSNR, including eight metrics divided into three families. The results show the weaknesses and strengths of each approach.

Set partitioning in hierarchical treesWaveletPixelbusiness.industryPrincipal component analysisMultispectral imageWavelet transformHyperspectral imagingPattern recognitionArtificial intelligencebusinessDecorrelationMathematics2009 Fifth International Conference on Signal Image Technology and Internet Based Systems
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A low-cost multispectral imaging system for the characterisation of soil and small vegetation properties using visible and near-infrared reflectance

2022

Current Proximal Sensing technologies are based on multispectral imaging systems able to capture images in a few spectral bands, usually centred in VIS and NIR regions, to derive vegetation indices. However, most of such systems lack an internal radiometric calibration to estimate the actual reflectance of the observed target, making them sensitive to the local radiative environment and requiring a per-session calibration against a reference target. To overcome such dependence, the instrument described adopts an active illumination of the target surface, allowing the monitoring of soil and low vegetation surfaces by a radiometrically pre-calibrated imaging camera. The system, driven by a mi…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeMultispectral camera Vegetation Indices NDVI Image analysis Spectral reflectanceSettore AGR/09 - Meccanica AgrariaForestryHorticultureAgronomy and Crop ScienceSettore AGR/02 - Agronomia E Coltivazioni ErbaceeComputer Science ApplicationsComputers and Electronics in Agriculture
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Metodo per il monitoraggio di superfici vegetali

2019

Si descrive un metodo da impiegare per la caratterizzazione delle coperture vegetali. A method to be used for the monitoring of vegetation surfaces is described, which includes the use of a device for measuring the spectral reflectance of vegetation using images acquired with a lightening system based on visible and infrared monoband LEDs and including devignetting, image cropping, radiometric calibration procedures and calculation of reflectance values and vegetation indices.

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeMultispectral camera Vegetation Indices NDVI Image analysis Spectral reflectanceSettore AGR/09 - Meccanica AgrariaSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSettore AGR/02 - Agronomia E Coltivazioni Erbacee
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Method for monitoring vegetation ground covers

2020

A method to be used for the monitoring of vegetation surfaces is described, which includes the use of a device for measuring the spectral reflectance of vegetation using images acquired with a lightining system based on visible and infrared monoband LEDs and including devignetting, image cropping, radiometric calibration procedures and calculation of reflectance values and vegetation indices.

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeMultispectral camera Vegetation Indices NDVI Image analysis Spectral reflectanceSettore AGR/09 - Meccanica AgrariaSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSettore AGR/02 - Agronomia E Coltivazioni Erbacee
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Dispositivo per il monitoraggio di superfici vegetali

2017

La presente invenzione si riferisce al settore della diagnostica ambientale poiché fornisce un dispositivo che consente il monitoraggio dello stato fisiologico dei tappeti erbosi e di altre tipologie di coperture naturali che può essere anche impiegato per una accurata caratterizzazione e gestione delle coperture vegetali quali ad esempio campi sportivi, aree verdi naturali o artificiali e il relativo metodo.

Settore AGR/03 - Arboricoltura Generale E Coltivazioni Arboreemultispectral camera Vegetation Indices NDVI image analysis spectral reflectanceSettore AGR/09 - Meccanica AgrariaSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSettore AGR/02 - Agronomia E Coltivazioni Erbacee
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Indoor spectroradiometric characterization of plastic litters commonly polluting the Mediterranean Sea: toward the application of multispectral image…

2020

AbstractAround 350 million tonnes of plastics are annually produced worldwide. A remarkable percentage of these products is dispersed in the environment, finally reaching and dispersed in the marine environment. Recent field surveys detected microplastics’ concentrations in the Mediterranean Sea. The most commonly polymers found were polyethylene, polypropylene and viscose, ethylene vinyl acetate and polystyrene. In general, the in-situ monitoring of microplastic pollution is difficult and time consuming. The main goals of this work were to spectrally characterize the most commonly polymers and to quantify their spectral separability that may allow to determine optimal band combinations for…

Settore BIO/07 - EcologiaPollutionMicroplastics010504 meteorology & atmospheric sciencesmedia_common.quotation_subjectMultispectral imageOptical spectroscopylcsh:Medicine010501 environmental sciences01 natural sciencesArticleEnvironmental impactMediterranean sealcsh:Science0105 earth and related environmental sciencesmedia_commonRemote sensingMultidisciplinarySpectral signaturelcsh:RSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaCharacterization (materials science)Spectroradiometerspectroradiometric characterization sea plastic litters multispectral imageryEnvironmental sciencelcsh:QSatelliteSettore ICAR/06 - Topografia E CartografiaScientific Reports
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Immunohistochemistry and multispectral analisys

2009

The use of methods of image analysis has allowed us to make more reliable and reproducible results obtained by immunohistochemistry (IHC). Wider use and simplification of software allowing a colorimetric study has meant that these methods are available to everyone and made it possible to standardize the technique by reliable systems score. Moreover, the introduction in recent years of multispectral image acquisition systems methods has further refined these techniques allowing to avoid artifacts and release the evaluation of the data by the observer.

Settore BIO/17 - IstologiaImage analisys Multispectral immunohistochemistry
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A thermal inertia model for soil water content retrieval using thermal and multispectral images

2010

Soil moisture is difficult to quantify because of its high spatial variability. Consequently, great efforts have been undertaken by the research community to develop practical remote sensing approaches to estimate the spatial distribution of surface soil moisture over large areas and with high spatial detail. Many methodologies have been developed using remote sensing data acquiring information in different parts of the electromagnetic spectrum. Conventional field measurement techniques (including gravimetric and time-domain reflectometry) are point-based, involve on-site operators, are time expensive and, in any case, do not provide exhaustive information on the spatial distribution of soi…

Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaMultispectral imageremote sensing termal inertialsoil humiditySoil scienceContext (language use)Spectral bandsthermal inertiaSoil thermal propertiessoil thermal propertiesSoil waterSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental sciencePedologySpatial variabilityWater contentRemote sensingRemote Sensing for Agriculture, Ecosystems, and Hydrology XII
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