Search results for "Images"

showing 10 items of 460 documents

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention

2019

International audience; Skin lesion segmentation in dermoscopic images is still a challenge due to the low contrast and fuzzy boundaries of lesions. Moreover, lesions have high similarity with the healthy regions in terms of appearance. In this paper, we propose an accurate skin lesion segmentation model based on a modified conditional generative adversarial network (cGAN). We introduce a new block in the encoder of cGAN called factorized channel attention (FCA), which exploits both channel attention mechanism and residual 1-D kernel factorized convolution. The channel attention mechanism increases the discriminability between the lesion and non-lesion features by taking feature channel int…

General Computer ScienceComputer science02 engineering and technologyResidualFuzzy logic030218 nuclear medicine & medical imagingConvolutionconditional generative adversarial network03 medical and health sciencesSkin lesion0302 clinical medicineGradient vector flow0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceSegmentation[INFO]Computer Science [cs]channel attentionbusiness.industryresidual convolutionGeneral EngineeringPattern recognitionKernel (image processing)factorized kernel020201 artificial intelligence & image processingArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringbusinessEncoderlcsh:TK1-9971Dermoscopy images
researchProduct

Relative risk estimation of dengue disease at small spatial scale

2017

Abstract Background Dengue is a high incidence arboviral disease in tropical countries around the world. Colombia is an endemic country due to the favourable environmental conditions for vector survival and spread. Dengue surveillance in Colombia is based in passive notification of cases, supporting monitoring, prediction, risk factor identification and intervention measures. Even though the surveillance network works adequately, disease mapping techniques currently developed and employed for many health problems are not widely applied. We select the Colombian city of Bucaramanga to apply Bayesian areal disease mapping models, testing the challenges and difficulties of the approach. Methods…

General Computer ScienceOperations research030231 tropical medicinePopulationGeographic MappingColombialcsh:Computer applications to medicine. Medical informaticsNormalized Difference Vegetation IndexDengue feverDengue03 medical and health sciencessymbols.namesake0302 clinical medicineCohen's kappaRisk FactorsStatisticsmedicineHumans030212 general & internal medicineSatellite imagesRisk factoreducationEstimationeducation.field_of_studyResearchPublic Health Environmental and Occupational HealthCohen’s KappaMarkov chain Monte CarloBayes Theoremmedicine.diseaseGeneral Business Management and AccountingBayesian modelingGeographyData qualitysymbolsDisease mappinglcsh:R858-859.7International Journal of Health Geographics
researchProduct

The Study of Dynamic Objects Identification Algorithms Based on Anisotropic Properties of Generalized Amplitude-Phase Images

2018

The article presents some results of dynamical objects identification technology based on coincidence matrixes of templates and tested objects’ amplitude-phase images (APIm) calculated with discrete Hilbert transforms (DHT). DHT algorithms are modeled on basis of isotropic (HTI), anisotropic (HTA), generalized transforms – AP-analysis (APA) and the difference (residual) relative shifted phase (DRSP-) images to calculate the APIm. The identified objects are recognized as members of classes modeled with 3D templates – images of different types airplanes rotated in space. The dynamic anisotropic properties of APIm causes the increasing of sensitivity to circular angle rotation and make possibl…

Generalized hilbert transformsMatching (graph theory)Basis (linear algebra)Dynamic object identificationComputer scienceIsotropyPhase (waves)Sensitivity (control systems)ResidualAmplitude-phase imagesAlgorithmRotation (mathematics)Coincidence
researchProduct

Space and Light, Towards an Interactive Simulation of Lighting

2003

International audience; Une image est une vue, à un instant donné, de l'équilibre lumineux présent dans une scène. Cet équilibre résulte d'un système complexe où l'énergie provenant des sources est re-distribuée dans l'espace par les matériaux appliqués aux formes. Si cet équilibre est perturbé par une modification des conditions lumineuses, l'image précédente n'est plus valide. En cela elle ne représente qu'un instant d'un lieu et non le lieu lui même. Nous proposons ici une approche pour la simulation interactive de l'éclairage dans une scène complexe. Une application à cette étude étant la production d'images vivantes et confondantes dans le cadre de la réalité augmentée.

Global illumination simulation[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]Illumination globalelumière interactiveimages confondantesACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
researchProduct

A Specialized Architecture for Color Image Edge Detection Based on Clifford Algebra

2013

Edge detection of color images is usually performed by applying the traditional techniques for gray-scale images to the three color channels separately. However, human visual perception does not differentiate colors and processes the image as a whole. Recently, new methods have been proposed that treat RGB color triples as vectors and color images as vector fields. In these approaches, edge detection is obtained extending the classical pattern matching and convolution techniques to vector fields. This paper proposes a hardware implementation of an edge detection method for color images that exploits the definition of geometric product of vectors given in the Clifford algebra framework to ex…

Hardware architectureMultispectral MR images.Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniColor histogramComputer scienceColor imagebusiness.industryColor image edge detectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFPGA prototypingApplication-specific processorColor quantizationEdge detectionConvolutionComputer Science::Hardware ArchitectureComputer Science::Computer Vision and Pattern RecognitionRGB color modelComputer visionArtificial intelligenceClifford algebrabusinessImage gradient
researchProduct

Estimating the Best Reference Homography for Planar Mosaics From Videos

2015

This paper proposes a novel strategy to find the best reference homography in mosaics from video sequences. The reference homography globally minimizes the distortions induced on each image frame by the mosaic homography itself. This method is designed for planar mosaics on which a bad choice of the first reference image frame can lead to severe distortions after concatenating several successive homographies. This often happens in the case of underwater mosaics with non-flat seabed and no georeferential information available. Given a video sequence of an almost planar surface, sub-mosaics with low distortions of temporally close image frames are computed and successively merged according to…

Hierarchical mosaicingViewpoint computationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPlanarComputer graphics (images)Hierarchical Mosaicing Viewpoint Computation Underwater VisionComputer visionArtificial intelligenceUnderwater visionbusinessHomography (computer vision)
researchProduct

Improving point matching on multimodal images using distance and orientation automatic filtering

2016

International audience; Speed Up Robust Features SURF is one of the most popular and efficient methods used for image registration task. In order to achieve a correct registration, a good matching of feature point is required. However in the case of multimodal images, the high and non-linear intensity changes between different modalities led to many outliers (mismatching of detected points) and consequently a fail in the registration. Therefore, in this paper we introduce an efficient method devoted to the detection and removal of such outlier. It's based on an automatic filtering of outliers on both distance and orientation between features points. We tested our proposed method on a set of…

HistogramsComputer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration02 engineering and technologyimage matchingfeature point matchingRANSACElectronic mailautomatic outlier filteringHistogramautomatic orientation filteringhigh-nonlinear intensity[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringautomatic distance filteringOutlier detectionComputer visionIR visible imagesRobustnessmultimodal imagesUV imagesImage registrationimage filteringMeasurementbusiness.industryFeature matchingSURF020206 networking & telecommunicationsPoint set registrationPattern recognitionDetectorsdetected point mismatchingcultural heritagefluorescence imagesElectronic mail[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Outlierspeed-up robust featuresFeature extraction020201 artificial intelligence & image processingAnomaly detectionArtificial intelligencebusiness
researchProduct

ICDAR 2021 Competition on Historical Document Classification

2021

International audience; This competition investigated the performance of historical document classification. The analysis of historical documents is a difficult challenge commonly solved by trained humanists. We provided three different classification tasks, which can be solved individually or jointly: font group/script type, location, date. The document images are provided by several institutions and are taken from handwritten and printed books as well as from charters. In contrast to previous competitions, all participants relied upon Deep Learning based approaches. Nevertheless, we saw a great performance variety of the different submitted systems. The easiest task seemed to be font grou…

Historical document imagesbusiness.industryComputer scienceDocument classificationDeep learningContrast (statistics)computer.software_genreVariety (linguistics)Task (project management)Competition (economics)Document classification[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingDocument analysisFontComputingMethodologies_DOCUMENTANDTEXTPROCESSINGDatingArtificial intelligence[SHS.HIST]Humanities and Social Sciences/HistorybusinesscomputerNatural language processingHistorical document
researchProduct

Images of the imagined city

2018

The essay investigates one of the projects in the competition for the expansion of the North area of Palermo named ZEN 2 and designed by the architects Pasquale Culotta, Giuseppe Laudicina, Teresa Cannarozzo, Anna Maria Fundarò and Tilde Marra, in 1970. The essay aims at illustrating the spatial, figurative and urban qualities of it. The analysis of the project has been guided by a written text and the graphic support, that is the project report and the attached drawings, in Indian Ink, made by the architects themselves, indeed very often fragmented and difficult to be interpreted. In this regard, the support of digital drawing in two-dimensional and three-dimensional form, based on the cre…

HistoryArchitectureCityArchitectural drawing and designRedrawingSettore ICAR/17 - DisegnoProjectNA1-9428NA2695-2793New Images
researchProduct

A metabolism of Adam and Eve: Damien Hirst meets Edvard Munch

2016

Sari Kuuva, University of Jyvaskyla Sari Kuuva, PhD (in cognitive science, 2007 and art history, 2010) is a post-doctoral researcher who works at the Department of Art and Cultural Studies at the University of Jyvaskyla. She has studied the relationship between art, aesthetics and psychology, particularly the concept of the symbol and the problematics of experiencing and creating visual art. Among Kuuva’s main publications relating to the art of Edvard Munch are: Symbol, Munch and Creativity: Metabolism of Visual Symbols (University of Jyvaskyla 2010); ‘Emotional creativity in art: case scream’ in Mind and Matter: Selected Papers of Nordic 2009 Conference for Art Historians (Helsinki, Socie…

HistoryEvolutionlcsh:BL1-2790Sciencemedia_common.quotation_subjectEdvard MunchevoluutioEvolution; Art; Science; Religion; Edvard Munch; Damien Hirst; W. J. T. Mitchell; Picture; Image; Metapicture; SymboArt historytaideMetapicturelcsh:Religions. Mythology. RationalismDamien HirstAdam and EveMitchell W. J. T.Sociologykuvatmedia_commonW. J. T. MitchellLiteraturemetapicturesHirst Damienbusiness.industrylcsh:BL1-50Religious studieslcsh:Religion (General)tiedeCreativityPictureReligionMunch EdvardimagesSymbolSymboCultural studieslcsh:BImageArtikkelitbusinesslcsh:Philosophy. Psychology. ReligionArtApproaching Religion
researchProduct