Search results for "multispectral imaging"

showing 10 items of 22 documents

Evaluation of the Colorimetric Performance of Single-Sensor Image Acquisition Systems Employing Colour and Multispectral Filter Array

2015

International audience; Single-sensor colour imaging systems mostly employ a colour filter array (CFA). This enables the acquisition of a colour image by a single sensor at one exposure at the cost of reduced spatial resolution. The idea of CFA fit itself well with multispectral purposes by incorporating more than three types of filters into the array which results in multispectral filter array (MSFA). In comparison with a CFA, an MSFA trades spatial resolution for spectral resolution. A simulation was performed to evaluate the colorimetric performance of such CFA/MSFA imaging systems and investigate the trade-off between spatial resolution and spectral resolution by comparing CFA and MSFA …

010302 applied physicssingle-sensorDemosaicingComputer sciencebusiness.industryColour filter arrayMultispectral imageBilinear interpolation01 natural sciencescolour filter array010309 opticsWaveletFilter (video)colorimetric performance[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]0103 physical sciences[ INFO.INFO-TI ] Computer Science [cs]/Image Processingmultispectral imagingComputer visionArtificial intelligenceSpectral resolutionbusinessImage resolution
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« On-the-go » multispectral imaging system to characterize the development of vineyard foliage

2015

International audience; In Precision Viticulture, multispectral imaging systems are currently used in remote sensing for vineyard vigor characterization but few are employed in proximal sensing. This work presents the potential of a proximal multispectral imaging system mounted on a track-laying tractor equipped with a Greenseeker RT-100 to provide an NDVI index. The camera acquired visible and near-infrared images which were calibrated in reflectance. Vegetation indices were computed and compared to Greenseeker data. From two of the resulting datasets, a spatio-temporal study of foliage description through both optical systems is presented. This first study assessed the proximal imagery re…

0106 biological sciences010104 statistics & probability[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingNDVImultispectral imagingfoliage characterizationprecision viticulture15. Life on land0101 mathematics01 natural sciencesin-field acquisition010606 plant biology & botany
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Melanoma-Nevus Discrimination Based on Image Statistics in Few Spectral Channels

2016

The purpose of this paper is to offer a method for discrimination of cutaneous melanoma from benign nevus, founded on analysis of skin lesion image. At the core of method is calculation of mean and standard deviation of pixel optical density values for a few narrow spectral bands. Calculated values are compared with discriminating thresholds derived from a set of images of benign nevi and melanomas with known diagnosis. Classification is done applying weighted majority rule to results of thresholding. Verification against the available multispectral images of 32 melanomas and 94 benign nevi has shown that the method using three spectral bands provided zero false negative and four false posi…

0301 basic medicineNevi and melanomasContextual image classificationImage classificationmelanoma detection.Multispectral imageSpectral bandsbiomedical optical imagingmedicine.disease01 natural sciencesThresholdingStandard deviation010104 statistics & probability03 medical and health sciences030104 developmental biologyCutaneous melanomaStatisticsmultispectral imagingmedicineNevus0101 mathematicsElectrical and Electronic EngineeringMathematicsElektronika ir Elektrotechnika
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Real-time Multispectral Image Processing and Registration on 3D Point Cloud for Vineyard Analysis

2021

International audience; Nowadays, precision agriculture and precision viticulture are under strong development. In order to accomplish effective actions, robots require robust perception of the culture and the surrounding environment. Computer vision systems have to identify plant parts (branches, stems, leaves, flowers, fruits, vegetables, etc.) and their respective health status. Moreover, they must merge various plant information, to measure agronomic indices, to classify them and finally to extract data to enable the agriculturist or expert to make a relevant decision. We propose a real-time method to acquire, process and register multispectral images fused to 3D. The sensors system, co…

2. Zero hungerImage Registrationbusiness.industryComputer scienceMultispectral imagePoint cloudProcess (computing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration3D Point Cloud[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]15. Life on landAgricultural RoboticsField (computer science)Precision viticulturePrecision ViticultureRobotMultispectral ImagingComputer visionArtificial intelligencePrecision agriculturebusiness
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Automatic cell nuclei counting: a protocol to acquire images and to compare results between color and multispectral images

2013

International audience; High-throughput screening in histology and analysis need a necessary automatic cell or nucleus counting. Current methods and systems based on grayscale or color images give results with counting errors. We suggest to use multispectral imaging (with more than three bands) rather than color one for nucleus counting. A traditional acquisition chains uses a source of white light and a CCD camera in addition to the optical microscope. To pass to a multispectral acquisition, we use a Programmable Light Source (PLS) in the place of the white light source. This PLS is capable of generating different wavelengths in the visible spectrum. So, one color image and four multispect…

Automatic cell nuclei detection[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingacquisition protocolmultispectral imagingimage calibration[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingcolor imaging[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Development of an imaging system dedicated to the acquisition analysis and multispectral characterisation of skin lesion

2011

Visual evaluation of cutaneous lesions is the analysis the most commonly performedby dermatologists. This diagnostic is mainly done by naked eye and is based on criterionsuch as the size, shape, symmetry but principally on colour of the lesions. However, thisanalysis is subjective because it depends on the practician experience and the acquisitionconditions. We propose in this dissertation (1) the development of a multispectralcamera specifically dedicated for dermatological use. This device is based on a filterwheel composed of interferential filters and a neural network-based algorithm, generatinga hyperspectral cube of cutaneous data. This setting combines advantage of both spectrophotom…

Dermatologie[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologyAlgorithmes évolutionnairesReconstruction spectrale[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]DermatologyLight propagation model in skinImagerie multispectrale[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Multispectral imagingSpectral reconstructionModèle de propagation de la lumière dans la peau[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathology[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Evolutionnary algorithms[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Spectral Characterization of a Prototype SFA Camera for Joint Visible and NIR Acquisition

2016

International audience; Multispectral acquisition improves machine vision since it permits capturing more information on object surface properties than color imaging. The concept of spectral filter arrays has been developed recently and allows multispectral single shot acquisition with a compact camera design. Due to filter manufacturing difficulties, there was, up to recently, no system available for a large span of spectrum, i.e., visible and Near Infra-Red acquisition. This article presents the achievement of a prototype of camera that captures seven visible and one near infra-red bands on the same sensor chip. A calibration is proposed to characterize the sensor, and images are captured…

EngineeringMachine visionMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAutomotive industry[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologylcsh:Chemical technologysensors01 natural sciencesBiochemistryArticleAnalytical ChemistryMultispectral pattern recognition010309 optics[SPI]Engineering Sciences [physics]0103 physical sciencesmultispectral imaging[ SPI ] Engineering Sciences [physics]0202 electrical engineering electronic engineering information engineeringCalibrationlcsh:TP1-1185Computer visionElectrical and Electronic EngineeringInstrumentationComputingMilieux_MISCELLANEOUSspectral filter arraybusiness.industrymultispectral imaging; spectral filter array; sensorsRoboticsChipAtomic and Molecular Physics and OpticsFilter (video)[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic020201 artificial intelligence & image processing[ SPI.OPTI ] Engineering Sciences [physics]/Optics / PhotonicArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSensors
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A Database of Spectral Filter Array Images that Combine Visible and NIR

2017

International audience; Spectral filter array emerges as a multispectral imaging technology, which could benefit several applications. Although several instantiations are prototyped and commercialized, there are yet only a few raw data available that could serve research and help to evaluate and design adequate related image processing and algorithms. This document presents a freely available spectral filter array database of images that combine visible and near infra-red information.

Image database DemosaickingSpectral filter arraysbusiness.industryComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology01 natural sciencesArray DBMSMultispectral imagingAlgorithm010309 opticsFilter (video)[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]0103 physical sciences[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessSensor
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Evaluation of Erythema Severity in Dermatoscopic Images of Canine Skin: Erythema Index Assessment and Image Sampling Reliability.

2021

The regular monitoring of erythema, one of the most important skin lesions in atopic (allergic) dogs, is essential for successful anti-allergic therapy. The smartphone-based dermatoscopy enables a convenient way to acquire quality images of erythematous skin. However, the image sampling to evaluate erythema severity is still done manually, introducing result variability. In this study, we investigated the correlation between the most popular erythema indices (EIs) and dermatologists’ erythema perception, and we measured intra- and inter-rater variability of the currently-used manual image-sampling methods (ISMs). We showed that the EIBRG, based on all three RGB (red, green, and blue) channe…

Image samplingSkin erythemamedicine.medical_specialtyErythema040301 veterinary sciencesIntraclass correlationsmartphone dermatoscopyintraclass correlation coefficientlcsh:Chemical technologyBiochemistrySpearman's rank correlation coefficientSeverity of Illness IndexAnalytical ChemistrySpecimen Handling0403 veterinary science030207 dermatology & venereal diseases03 medical and health sciences0302 clinical medicineDogsImage Interpretation Computer-Assistedmultispectral imagingMedicineerythema indexAnimalslcsh:TP1-1185Dog DiseasesElectrical and Electronic EngineeringInstrumentationReliability (statistics)SkinDermatoscopymedicine.diagnostic_testintegumentary systembusiness.industryCommunicationReproducibility of Results04 agricultural and veterinary sciencesCADESI4DermatologyAtomic and Molecular Physics and Optics3. Good healthErythemacanine atopic dermatitiserythema severityimage samplingmedicine.symptombusinessSkin lesiondisease severity scalesSensors (Basel, Switzerland)
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Color and multispectral image processing for the detection of inflammatory lesions of the stomach

2019

The work presented in this manuscript is part of the ANR project EMMIE. This project aims to develop an innovative multimodal system for the detection of inflammatory lesions in the stomach. To this purpose, a prototype has been developed to be able to acquire NBI endoscopic images and multispectral images during human's antrum exploration. The prototype is made of a standard endoscope and multispectral images.The prototype can acquire two types of data: NBI images and spectra. These two modalities are processed independently. Common image processing features are used to recognize four kind of diseases: active gastritis, chronic gastritis, metaplasia and atrophy. In addition, visual based f…

Machine LearningNarrow Band Imaging and multispectral imaging[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Classification des lésions de l'estomacApprentissage par transfertClassification of stomach lesionsInverse problem and optimizationApprentissage superviséTransfer LearningEndoscopie digestiveProblèmes inverses et optimisationDigestive endoscopyImagerie NBI et multispectrale
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