Search results for "RGB"

showing 10 items of 116 documents

A new multimodal RGB and polarimetric image dataset for road scenes analysis

2020

International audience; Road scene analysis is a fundamental task for both autonomous vehicles and ADAS systems. Nowadays, one can find autonomous vehicles that are able to properly detect objects present in the scene in good weather conditions but some improvements are left to be done when the visibility is altered. People claim that using some non conventional sensors (infra-red, Lidar, etc.) along with classical vision enhances road scene analysis but still when conditions are optimal. In this work, we present the improvements achieved using polarimetric imaging in the complex situation of adverse weather conditions. This rich modality is known for its ability to describe an object not o…

Reflection (computer programming)Modality (human–computer interaction)business.industryComputer sciencePolarimetryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO] Computer Science [cs]010501 environmental sciencesObject (computer science)01 natural sciences010309 opticsLidar0103 physical sciencesRGB color modelComputer vision[INFO]Computer Science [cs]Artificial intelligencebusinessVisibility0105 earth and related environmental sciences
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Metodo automatici per l'analisi fotoelastica delle tensioni residue nel vetro

2010

Nei manufatti in vetro sono generalmente presenti tensioni residue provocate dalle lavorazioni. In tali componenti, il controllo delle tensioni residue riveste grande importanza; a tal fine si impiegano diversi metodi di analisi, codificati anche dalla normativa internazionale. Poiché il vetro è un materiale birifrangente, le tecniche sviluppate per l’analisi delle tensioni residue sono basate principalmente sul metodo fotoelastico. In questo lavoro vengono proposti due metodi automatici di analisi delle tensioni residue di tipo membranale nei vetri basati rispettivamente sulla fotoelasticità RGB, in luce bianca, e sul metodo a variazione di fase, in luce monocromatica. I suddetti metodi po…

Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchinemeccanica sperimentale vetri tensioni residue fotoelasticità RGB fotoelasticità a variazione di fase
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Blood vessels and feature points detection on retinal images

2009

In this paper we present a method for the automatic extraction of blood vessels from retinal images, while capturing points of intersection/overlap and endpoints of the vascular tree. The algorithm performance is evaluated through a comparison with handmade segmented images available on the STARE project database (STructured Analysis of the REtina). The algorithm is performed on the green channel of the RGB triad. The green channel can be used to represent the illumination component. The matched filter is used to enhance vessels w.r.t. the background. The separation between vessels and background is accomplished by a threshold operator based on gaussian probability density function. The len…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniChannel (digital image)Pixelbusiness.industryMatched filterGaussianRetinal VesselsSensitivity and SpecificityRetinaIntersection (Euclidean geometry)Pattern Recognition AutomatedTree (data structure)symbols.namesakevessels feature detectionFeature (computer vision)Image Interpretation Computer-AssistedsymbolsHumansRGB color modelComputer visionArtificial intelligencebusinessAlgorithmsMathematics2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Unsupervised Clustering in Personal Photo Collections

2008

In this paper we propose a probabilistic approach for the automatic organization of collected pictures aiming at more effective representation in personal photo albums. Images are analyzed and described in two representation spaces, namely, faces and background. Faces are automatically detected, rectified and represented projecting the face itself in a common low dimensional eigenspace. Backgrounds are represented with low-level visual features based on RGB histogram and Gabor filter energy. Face and background information of each image in the collection is automatically organized by mean-shift clustering technique. Given the particular domain of personal photo libraries, where most of the …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryProbabilistic logicComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionpersonal photo albumImage (mathematics)Gabor filterCBIR image analysis image clusteringFace (geometry)HistogramRGB color modelComputer visionArtificial intelligenceRepresentation (mathematics)businessCluster analysisImage retrievalmean-shift clusteringPhoto collection
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Mean shift clustering for personal photo album organization

2008

In this paper we propose a probabilistic approach for the automatic organization of pictures in personal photo album. Images are analyzed in term of faces and low-level visual features of the background. The description of the background is based on RGB color histogram and on Gabor filter energy accounting for texture information. The face descriptor is obtained by projection of detected and rectified faces on a common low dimensional eigenspace. Vectors representing faces and background are clustered in an unsupervised fashion exploiting a mean shift clustering technique. We observed that, given the peculiarity of the domain of personal photo libraries where most of the pictures contain fa…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionFacial recognition systemVisualizationComputingMethodologies_PATTERNRECOGNITIONGabor filterImage textureCBIR image analysis image clusteringHistogramRGB color modelComputer visionMean-shiftArtificial intelligencebusinessFace detectionMathematics
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Accuracy of an Affordable Smartphone-Based Teledermoscopy System for Color Measurements in Canine Skin

2020

Quality smartphone cameras and affordable dermatoscopes have enabled teledermoscopy to become a popular medical and veterinary tool for analyzing skin lesions such as melanoma and erythema. However, smartphones acquire images in an unknown RGB color space, which prevents a standardized colorimetric skin analysis. In this work, we supplemented a typical veterinary teledermoscopy system with a conventional color calibration procedure, and we studied two mid-priced smartphones in evaluating native and erythematous canine skin color. In a laboratory setting with the ColorChecker, the teledermoscopy system reached CIELAB-based color differences &Delta

Skin erythemaErythemaComputer scienceHuman skinlcsh:Chemical technology01 natural sciencesBiochemistryAnalytical Chemistry0403 veterinary sciencecolor correctionColorCheckererythema indexlcsh:TP1-1185Computer visionDog Diseasessmartphone teledermoscopycanine skincolor calibrationColorimetryMelanomaInstrumentationSkincolorcheckerColor calibrationintegumentary systemColor constancyColor correction04 agricultural and veterinary sciencesAtomic and Molecular Physics and OpticsCIELAB color spaceRGB color spaceSmartphonemedicine.symptomcolor constancySkin lesion040301 veterinary sciencesColorDermoscopyArticle010309 opticsDogs0103 physical sciencesmedicineAnimalsHumansElectrical and Electronic Engineeringcolor calibration targetbusiness.industryveterinary dermatologyErythemaSkin colorArtificial intelligencebusinessSensors
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Skin Erythema Assessment by an RGB Imaging Device: a Clinical Study

2015

In this study, skin erythema assessment of 90 rosacea patients was estimated by a simple, low-cost RGB imaging device. A new erythema index assessment algorithm is proposed and clinically validated. Comparison with dermatologist’s visual assessment shows high correlation.

Skin erythemamedicine.medical_specialtyintegumentary systemErythemabusiness.industrymedicine.diseaseDermatologyClinical studyOpticsRosaceaVisual assessmentRGB color modelMedicinemedicine.symptomskin and connective tissue diseasesbusinessFrontiers in Optics 2015
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Prediction of banana quality indices from color features using support vector regression

2015

Banana undergoes significant quality indices and color transformations during shelf-life process, which in turn affect important chemical and physical characteristics for the organoleptic quality of banana. A computer vision system was implemented in order to evaluate color of banana in RGB, L*a*b* and HSV color spaces, and changes in color features of banana during shelf-life were employed for the quantitative prediction of quality indices. The radial basis function (RBF) was applied as the kernel function of support vector regression (SVR) and the color features, in different color spaces, were selected as the inputs of the model, being determined total soluble solids, pH, titratable acid…

Support Vector Machinemedia_common.quotation_subjectOrganolepticColorHSL and HSVColor space01 natural sciencesAnalytical Chemistry0404 agricultural biotechnologyArtificial IntelligenceQuality (business)Radial basis functionmedia_commonArtificial neural networkChemistrybusiness.industry010401 analytical chemistryMusaPattern recognitionPigments Biological04 agricultural and veterinary sciences040401 food science0104 chemical sciencesSupport vector machineRGB color modelNeural Networks ComputerArtificial intelligencebusinessForecastingTalanta
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Kinetics of Surface Chemical Reactions from a Digital Video

2020

In the last few years, the color analysis of the studied surface has been regarded as a nonexpensive way to obtain not only the spectrochemical data but also the spatiotemporal information of the entire surface. Mean color intensities and standard deviation calculated from the red, green, and blue color histograms of digital images of surfaces have been considered particularly useful for the chemical understanding of surface kinetics. The shape of curves, the maximum of peaks, or the half-peak widths depend on the kinetic constants and on the kinetic order of the surface chemical process. Some strategies used for obtaining the kinetics from RGB color intensities and their standard deviation…

Surface (mathematics)Materials scienceKineticsColor analysis02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnologyKinetic energy01 natural sciencesStandard deviation0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsComputational physicsDigital imageGeneral EnergyHistogramRGB color modelPhysical and Theoretical Chemistry0210 nano-technologyThe Journal of Physical Chemistry C
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Estimation of Leaf Area in Bell Pepper Plant using Image Processing techniques and Artificial Neural Networks

2021

Measurement and estimation of physical properties of plant leaves have always been considered as important requirements for monitoring and optimizing of plant growth. This study aimed at utilization of image processing and artificial intelligence techniques for non-invasive and non-destructive estimation of bell pepper leaves properties in the first month of growth. Physical properties of bell pepper plant leaves were extracted from RGB images. The algorithm makes use of gradient magnitude and watershed image. Leaf area as the most important index of growth was estimated as a function of other physical parameters including leaf length, width, perimeter etc. Using stereo imaging, the leaf di…

WatershedArtificial neural networkbusiness.industryQuantitative Biology::Tissues and OrgansImage processingPattern recognitionStereo imagingGradient magnitudeComputer Science::Computer Vision and Pattern RecognitionMultilayer perceptronPepperRGB color modelArtificial intelligencebusinessMathematics2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)
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