Search results for "image"

showing 10 items of 6818 documents

Scratch detection and removal from static images using simple statistics and genetic algorithms

2002

This paper investigates the removal of line scratches from old movies and gives a twofold contribution. First, it presents simple technique for detecting the scratches, based on an analysis of the statistics of the grey levels. Second, the scratch removal is approached as an optimisation problem, and it is solved by using a genetic algorithm. The method can be classified as a static approach, as it works independently on each single frame of the sequence. It does not require any a-priori knowledge of the absolute position of the scratch, nor an external starting population of chromosomes for the genetic algorithm. The central column of the line scratch once detected is changed with a conven…

education.field_of_studySettore INF/01 - InformaticaComputer sciencePopulationImage processingLinear interpolationObject detectionHardware and ArchitectureScratchStatisticsLine (geometry)Genetic algorithmElectrical and Electronic Engineeringeducationcomputer1707Interpolationcomputer.programming_language
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A Method Based on Multi-source Feature Detection for Counting People in Crowded Areas

2019

We propose a crowd counting method for multisource feature fusion. Image features are extracted from multiple sources, and the population is estimated by image feature extraction and texture feature analysis, along with for crowd image edge detection. We count people in high-density still images. For instance, in the city’s squares, sports fields, subway stations, etc. Our approach uses a still image taken by a camera on a drone to appraise the count in the population density image, using a kind of sources of information: HOG, LBP, CANNY. We furnish separate estimates of counts and other statistical measurements through several types of sources. Support vector machine SVM, classification an…

education.field_of_studyWarning systembusiness.industryFeature extractionPopulationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRegression analysisPattern recognitionImage (mathematics)Support vector machineArtificial intelligencebusinesseducationMulti-sourceFeature detection (computer vision)2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP)
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Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination

2015

This paper studies the level of complementary information conveyed by extremely high resolution LiDAR and optical images. We pursue this goal following an indirect approach via unsupervised spatial-spectral feature extraction. We used a recently presented unsupervised convolutional neural network trained to enforce both population and lifetime spar-sity in the feature representation. We derived independent and joint feature representations, and analyzed the sparsity scores and the discriminative power. Interestingly, the obtained results revealed that the RGB+LiDAR representation is no longer sparse, and the derived basis functions merge color and elevation yielding a set of more expressive…

education.field_of_studybusiness.industryFeature extractionPopulationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionConvolutional neural networkLidarData visualizationDiscriminative modelRGB color modelComputer visionArtificial intelligencebusinesseducationCluster analysis2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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3D inter-subject medical image registration by scatter search

2005

Image registration is a very active research area in computer vision, namely it is used to find a transformation between two images taken under different conditions. Point matching is an image registration approach based on searching for the right pairing of points between the two images. From this matching, the registration transformation we are searching, can be inferred by means of numerical methods. In this paper, we propose a scatter search (SS) algorithm to solve the matching problem. SS is a hybrid metaheuristic with a good trade-off between search space diversification and intensification. On the one hand, diversity is basically introduced from a population-based approach where syst…

education.field_of_studybusiness.industryPopulationImage registrationImage processingPoint set registrationSearch algorithmLocal search (optimization)Computer visionArtificial intelligencebusinesseducationMetaheuristicImage retrievalMathematics
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Thermographic quantitative variables for diabetic foot assessment: preliminary results

2018

The aim of this study was to define aspects of a protocol for a diabetic population by obtaining and evaluating thermographic images following thermal stress (cooling of the sole of the foot with c...

education.field_of_studymedicine.medical_specialtybusiness.industryPopulationBiomedical EngineeringComputational MechanicsSkin temperature02 engineering and technologymedicine.diseaseDiabetic foot030218 nuclear medicine & medical imagingComputer Science Applications03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationDiabetes mellitus0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingRadiology Nuclear Medicine and imagingeducationbusinessFoot (unit)Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
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Wybrane fenomeny mistyczne w doświadczeniu religijnym Alicji Lenczewskiej w świetle jej pism

2019

Artykuł traktuje o polskiej nauczycielce, katoliczce, Alicji Lenczewskiej (1934-2012), poślubionej mistycznie Bogu, autorce dwutomowego dzieła, w którym utrwaliła pouczenia Zbawiciela, przedstawiła dzieje swojej duszy i opisała otrzymane od Stwórcy nadzwyczajne charyzmaty, do których należy zaliczyć: mistyczne zaślubiny, ekstazy, stygmaty niewidzialne i obrazy duchowe.

ekstazaobrazy duchoweZaślubiny mistycznestygmatyMystical marriagespiritual imagesecstasystigmasStudia Paradyskie
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Multipactor radiation analysis within a waveguide region based on a frequency-domain representation of the dynamics of charged particles

2009

[EN] A technique for the accurate computation of the electromagnetic fields radiated by a charged particle moving within a parallel-plate waveguide is presented. Based on a transformation of the time-varying current density of the particle into a time-harmonic current density, this technique allows the evaluation of the radiated electromagnetic fields both in the frequency and time domains, as well as in the near- and far-field regions. For this purpose, several accelerated versions of the parallel-plate Green's function in the frequency domain have been considered. The theory has been successfully applied to the multipactor discharge occurring within a two metal-plates region. The proposed…

electromagnetic fieldsMultipactor effectElectromagnetic fieldcurrent densityImage theoryGreens-FunctionElectrodynamicsAcceleratorelectrodynamicsFinite difference time-domain analysisElectromagnetic radiationmicrowave switchesGreen's function methodslaw.inventionPeriodic StructuresOpticsBreakdownCurrent densitylawTEORIA DE LA SEÑAL Y COMUNICACIONESGreen's functionsFrequency-domain analysisfinite difference time-domain analysisEwald MethodPhysicsTeoría de la Señal y las Comunicaciones2-Dbusiness.industryElectromagnetic fieldsMicrowave switcheswaveguidesParallel plate waveguideCharged particleComputational physicsfrequency-domain analysisTransformation (function)Frequency domainModesDischarge3325 Tecnología de las TelecomunicacionesMultipactor effectbusinessWake-FieldWaveguidesWaveguideCurrent densitySimulationPhysical Review E
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Algorithms and software for biological multiscale image analysis

2013

electron microscopyBioImageXDsegmentationelectron tomographybioinformatiikkatietokoneohjelmatmethod validationelektronimikroskopiaanalyysimenetelmätsingle-particle reconstructionsimulated datamikroskopiakuvankäsittelyfluorescence microscopycolocalizationbioimage informaticskuvantaminentomografiaalgoritmitsingle-particle trackingbioimage analysis
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Early Television Video Game Tournaments as Sports Spectacles

2020

This article looks at two televised video game tournaments from the 1980’s from the viewpoint of sports spectacle. Through the analysis of the television episodes and comparison to modern eSports-scene, the aim is to see, if there were similarities or differences between sports broadcasting and video game broadcasting at the time. The article suggests that because of visual choices made in sports broadcasting, the video game tournaments adapted this style coincidentally, which might have affected the style of eSports-broadcasting later. nonPeerReviewed

elektroninen urheiluComputerApplications_MISCELLANEOUSvideopelitComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputingMilieux_PERSONALCOMPUTINGtelevisiointi
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The Role of Negative Affect in Emotional Processing of Food-Related Images in Eating Disorders and Obesity

2021

The aim of the present study was to analyze differences in the emotional processing (valence, arousal, and dominance) of food-related information in patients with eating disorders (ED), patients with obesity, and healthy women. Moreover, the mediator role of negative affect and the moderating role of the diagnostic group (ED vs. non-ED) were analyzed. Method: The sample consisted of 94 women (39 with eating disorders, 19 with obesity, and 36 healthy participants). Measures: International Affective Picture System (IAPS) food picture exposure task; Self-Assessment Manikin Analog-Visual Scale (SAM) appraising Arousal, Valence, and Dominance; Eating Attitudes Test (EAT-26); Positive and Negativ…

emotional processingobesitydigestive oral and skin physiologyeating disordersBrief Research Reportnegative affectModerationmedicine.diseaseObesityArousalBF1-990Eating disordersDominance (ethology)medicinefood-related imagesEating Attitudes TestPsychologyValence (psychology)PsychologyInternational Affective Picture SystemGeneral PsychologyClinical psychology
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