Search results for "Images"

showing 10 items of 460 documents

Effects of irradiation damage on the back-scattering of electrons: silicon-implanted silicon

2007

Radiation damage in an (initially crystalline) silicon wafer was generated by microbeam implantation with 600 keV Si+ ions (fluence 5 x 1014 ions/cm²). To produce micro-areas with different degrees of damage, 14 implantations at different temperatures (between 23 and 225 °C) were done. The structural state of irradiated areas was characterized using Raman spectroscopy and electron back-scatter diffraction. All irradiated areas showed strong structural damage in surficial regions (estimated depth <1 μm), and at implant substrate temperatures of below 130 °C, the treatment has caused complete amorphization. Back-scattered electron (BSE) images exhibited that observed BSE intensities correlate…

Materials scienceSiliconAnalytical chemistrychemistry.chemical_element02 engineering and technologySubstrate (electronics)010502 geochemistry & geophysics01 natural sciencesFluencesymbols.namesakeGeochemistry and PetrologyBack-scattered electron imagesRadiation damageIrradiation0105 earth and related environmental sciencessiliconMicrobeam021001 nanoscience & nanotechnologyCrystallographyGeophysicsIon implantationchemistryelectron back-scatter diffractionradiation damageRaman spectroscopysymbols0210 nano-technologyRaman spectroscopy
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Use of Guided Regularized Random Forest for Biophysical Parameter Retrieval

2018

This paper introduces a feature selection method based on random forest -the Guided Regularized Random Forest (GRRF)- which can be used in classification and regression tasks. The method is based on the regularization of the information gain in the random forest nodes to obtain a subset of relevant and non-redundant features. The proposed method is used as a preliminary step In the process of retrieving biophysical parameters from a hyperspectral image. Preliminary experiments show that we can reduce the RMSE of the retrievals by around 7% for the Leaf Area Index and around 8% for the fraction of vegetation cover when compared to the results using random forest features.

Mean squared error22/3 OA procedurebusiness.industryComputer scienceFeature extractionHyperspectral images0211 other engineering and technologiesHyperspectral imagingPattern recognitionFeature selection02 engineering and technologyBiophysical parameter retrievalRegularization (mathematics)RegressionRandom forestFeature selection0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceLeaf area indexbusinessRandom forest021101 geological & geomatics engineeringIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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A critical analysis of three remote sensing-based actual evapotranspiration assessment methods over sparse crops agricultural areas

2010

During last two decades the increasing availability of remotely sensed acquisitions in the thermal infrared part of the spectrum has encouraged hydrologist community to develop models and methodologies based on these kind of data. The aim of this paper is to compare three methods developed to assess the actual evapotranspiration spatial distribution by means of remote sensing data. The comparison was focused on the differences between the "single" (SEBAL) and "two" source (TSEB) surface energy balance approaches and the S-SEBI semi-empirical method. The first assumes a semiempirical internal calibration for the sensible heat flux assessment; the second uses a physically based approach in or…

Mediterranean climateIrrigationSEBALresidual surface energy balance modelsSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologiaactual evapotranspiration residual surface energy balance models airborne imagesSensible heatSpatial distributionVineyardHeat fluxEvapotranspirationEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestaliactual evapotranspirationairborne imagesRemote sensing
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Automatic Biological Cell Counting Using a Modified Gradient Hough Transform

2017

AbstractWe present a computational method for pseudo-circular object detection and quantitative characterization in digital images, using the gradient accumulation matrix as a basic tool. This Gradient Accumulation Transform (GAT) was first introduced in 1992 by Kierkegaard and recently used by Kaytanli &amp; Valentine. In the present article, we modify the approach by using the phase coding studied by Cicconet, and by adding a “local contributor list” (LCL) as well as a “used contributor matrix” (UCM), which allow for accurate peak detection and exploitation. These changes help make the GAT algorithm a robust and precise method to automatically detect pseudo-circular objects in a microscop…

Microbiological Techniques0301 basic medicineCountingComputer scienceColony Count Microbial02 engineering and technologyPattern Recognition AutomatedHough transformlaw.inventionAutomation03 medical and health sciencesMatrix (mathematics)Digital imageCirclelawYeasts[SDV.IDA]Life Sciences [q-bio]/Food engineeringImage Processing Computer-AssistedMicroscopic imageInstrumentationMicroscopybusiness.industryClinical Coding[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringPattern recognition021001 nanoscience & nanotechnologyObject detectionPeak detection030104 developmental biologyCoughSaccharomycetalesImagesBiological cellArtificial intelligenceCell0210 nano-technologybusinessAlgorithmsPhase coding
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A voice-activated key for the Apple Macintosh computer

1989

An interface circuit to connect a microphone to an Apple Macintosh computer is described. The Apple Macintosh mouse port is used as the input port, and the microphone activation simulates a mouse press.

MicrophoneComputer scienceInterface (computing)Experimental and Cognitive PsychologyPort (circuit theory)Voice command deviceComputerSystemsOrganization_MISCELLANEOUSComputer graphics (images)Key (cryptography)Psychology (miscellaneous)Apple macintoshGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)ComputingMilieux_MISCELLANEOUSGeneral PsychologyBehavior Research Methods, Instruments, &amp; Computers
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A Review of Recent Advances in Ear Recognition

2011

Ear recognition has become a rapidly growing research area in recent years. This paper gives an up-to-date review of research works in ear recognition based on 3D data and 2D ear images. For ear recognition in 3D, recent works on 3D feature extraction and model matching are presented and discussed. For 3D ear recognition based on 2D images, 3D ear model reconstruction is mainly discussed. For ear recognition in 2D, main research works on ear detection, ear feature extraction and classification are presented and discussed. Some possible future research interests are proposed in the end.

Model reconstruction2d imagesComputer scienceSpeech recognitionFeature extractionotorhinolaryngologic diseasessense organsEar recognitionModel matching
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Context-aware intelligent video analysis for the management of smart buildings

2019

To date, computer vision systems are limited to extract digital data of what the cameras "see". However, the meaning of what they observe could be greatly enhanced by environment and human-skills knowledge.In this work, we propose a new approach to cross-fertilize computer vision with contextual information, based on semantic modelization defined by an expert.This approach extracts the knowledge from images and uses it to perform real-time reasoning according to the contextual information, events of interest and logic rules. The reasoning with image knowledge allows to overcome some problems of computer vision such as occlusion and missed detections and to offer services such as people guid…

Modélisation des informations sur le bâtiment (BIM)[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Smart camerasCaméras inteligentesIngénierie d'OntologiesOntology engineeringRaisonnement CausalTraitement d'ImagesArtificial Inteligence (AI)Building information modeling (BIM)Computer visionCausal reasoningIntelligence artificielle (IA)
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A genetic algorithm for scratch removal in static images

2002

This paper investigates the removal of line scratches from old moving pictures and gives a twofold contribution. First, it presents a 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, which 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 wit…

Moving pictureOptimisation problemComputer sciencePopulationImage processingLinear interpolationStatic imagesStatic approachLinear InterpolationGenetic algorithmOptimization Absolute positionOptimisationComputer visioneducationcomputer.programming_languageeducation.field_of_studySettore INF/01 - Informaticabusiness.industryScratch removalTransformation (function)ScratchLine (geometry)Image analysiArtificial intelligencebusinesscomputerInterpolationProceedings 11th International Conference on Image Analysis and Processing
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Le jongleur musicien au risque de l'image et du son dans les livres enluminés (1200-1330)

2014

Moyen Âge[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryMusiqueImages
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Le programme: Une notion pertinente en histoire de l'art médiéval ?

2011

International audience

Moyen Âgehistoire de l'art (historiographie)[SHS.ART] Humanities and Social Sciences/Art and art historyHistoire de l'Art et des images (avec héraldique et sigillographie) (Christiane Prigent et Jean-Claude Schmitt)histoire de l'art (méthodologie)[SHS.ART]Humanities and Social Sciences/Art and art history[SHS.HIST]Humanities and Social Sciences/HistoryComputingMilieux_MISCELLANEOUS
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