Search results for " texture"

showing 10 items of 170 documents

Multiscale analyses and characterizations of surface topographies

2018

International audience; This work studies multiscale analyses and characterizations of surface topographies from the engineering and scientific literature with an emphasis on production engineering research and design. It highlights methods that provide strong correlations between topographies and performance or topographies and processes, and methods that can confidently discriminate topographies that were processed or that perform differently. These methods have commonalities in geometric characterizations at certain scales, which are observable with statistics and measurements. It also develops a semantic and theoretical framework and proposes a new system for organizing and designating …

Surface (mathematics)0209 industrial biotechnologyComputed-TomographyComputer scienceArea Structure-FunctionComputed tomography02 engineering and technologyWavelet Transformcomputer.software_genreMetrologyIndustrial and Manufacturing Engineering[SPI]Engineering Sciences [physics]020901 industrial engineering & automationmedicineProduction engineeringDimensional MetrologyQuantitative-AnalysisPhysics::Atmospheric and Oceanic Physicsmedicine.diagnostic_testRough SurfacesMechanical EngineeringFractal Analysis021001 nanoscience & nanotechnologyEngineering SurfacesFractal analysisRoughnessSurfaceMetrology; Roughness; Surface; Mechanical Engineering; Industrial and Manufacturing EngineeringData miningUbm Laser Profilometry0210 nano-technologyDental Microwear Texturecomputer
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HD-RTI: an adaptive multi-light imaging approach for the quality assessment of manufactured surfaces

2021

International audience; Reflectance Transformation Imaging (RTI) is a technique for estimating surface local angular reflectance from a set of stereo-photometric images captured with variable lighting directions. The digitization of this information fully fits into the industry 4.0 approach and makes it possible to characterize the visual properties of a surface. The proposed method, namely HD-RTI, is based on the coupling of RTI and HDR imaging techniques. This coupling is carried out adaptively according to the response at each angle of illumination. The proposed method is applied to five industrial samples which have high local variations of reflectivity because of their heterogeneity of…

Surface (mathematics)0209 industrial biotechnologyGeneral Computer ScienceComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyMachine visionSet (abstract data type)020901 industrial engineering & automationQuality (physics)[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingRobustness (computer science)0202 electrical engineering electronic engineering information engineeringComputer visionComputingMethodologies_COMPUTERGRAPHICSCouplingbusiness.industryQuality assessmentGeneral Engineering[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Variable (computer science)Quality inspection020201 artificial intelligence & image processingArtificial intelligenceMaterial AppearancebusinessPolynomial texture mapping
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Copy-move Forgery Detection via Texture Description

2010

Copy-move forgery is one of the most common type of tampering in digital images. Copy-moves are parts of the image that are copied and pasted onto another part of the same image. Detection methods in general use block-matching methods, which first divide the image into overlapping blocks and then extract features from each block, assuming similar blocks will yield similar features. In this paper we present a block-based approach which exploits texture as feature to be extracted from blocks. Our goal is to study if texture is well suited for the specific application, and to compare performance of several texture descriptors. Tests have been made on both uncompressed and JPEG compressed image…

Texture compressionComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage forensicscomputer.file_formatTexture (music)JPEGUncompressed videoDigital imageImage textureBlock (programming)Feature (computer vision)Computer visionArtificial intelligencebusinesscomputer
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An ultrathin suspended hydrophobic porous membrane for high-efficiency water desalination

2017

Abstract An ultrathin highly fluorinated porous membrane was designed for a large production of desalted water at very low energy consumption. Imprinting water droplets were used through a low thermally conductive tetra-fluoroethylene (TFE)/2,2,4-trifluoro-5-tri-fluorometoxy-1,3-dioxol (TIT) (HYFLON AD 60) solution and the generated porous nanofilm was suspended onto a polyethersulfone (PES) honeycomb texture. The very tiny fluorinated thickness together with a large number of small-shaped pores provided the membrane for enhanced anti-wetting surface properties, extremely reduced resistance to water vapor transfer and outstanding thermal efficiency. Fine materials structure-transport relati…

Thermal efficiencyMaterials scienceMembrane distillation; Nanostructured membrane; PES honeycomb texture; Porous HYFLON AD nanofilm; Thermal efficiency; Water desalinationMembrane distillation02 engineering and technologySuper-hydrophobic interface010402 general chemistryMembrane distillation01 natural sciencesSettore CHIM/04 - Chimica IndustrialeWater desalinationhoneycombPorous membranePES honeycomb textureGeneral Materials SciencePorosityWater desalinationElectrical conductorKeywordChromatographyNanostructured membranePorous HYFLON AD nanofilmNanofilm021001 nanoscience & nanotechnology0104 chemical sciencesMembraneChemical engineeringnanostructured membranesHYFLON AD0210 nano-technologyWater vaporThermal efficiency
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An Automated Visual Inspection System for the Classification of the Phases of Ti-6Al-4V Titanium Alloy

2013

Metallography is the science of studying the physical properties of metal microstructures, by means of microscopes. While traditional approaches involve the direct observation of the acquired images by human experts, Com-puter Vision techniques may help experts in the analysis of the inspected mate-rials. In this paper we present an automated system to classify the phases of a Titanium alloy, Ti-6Al-4V. Our system has been tested to analyze the final products of a Friction Stir Welding process, to study the states of the micro-structures of the welded material.

Titanium Ti-6Al-4V Metallography Computer Vision Automated Visual Inspection SVM TextureComputer sciencebusiness.industryAlloyMechanical engineeringchemistry.chemical_elementTitanium alloyWeldingengineering.materialMicrostructurelaw.inventionAutomated X-ray inspectionchemistrylawMetallographyengineeringFriction stir weldingComputer visionArtificial intelligencebusinessTitanium
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Phosphorus Loss in Overfertilized Soils: The Selective P Partitioning and Redistribution Between Particle Size Separates

2007

Using 12 well-characterised European soils contrasting in their physical and chemical properties, we demonstrate significant differences in the partitioning of phosphorus (P) between various particle size separates. Samples of each soil were subjected to one of three methods of increasingly aggressive dispersion in the order water (WD), mechanical (MD) or chemical (CD). A general, although not exclusive, inverse relationship existed between the concentration of various attributes (these included organic carbon, oxalate and dithionite iron contents, total P, resin and water extractable P) and particle size. The quantity, composition and physico-chemical properties of individual size separate…

Total organic carbonChemistrySoil texturePrecipitation (chemistry)acqueSoil ScienceSorptionPlant ScienceSuoloAdsorptionEnvironmental chemistrySoil watermedia_common.cataloged_instanceParticle sizefosforoEuropean unionAgronomy and Crop ScienceSuolo; acque; fosforomedia_common
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The use of soil water retention curve models in analyzing slope stability in differently structured soils

2017

Abstract This study analyzes whether and at what rate the parameterization of the Soil Water Retention Curve (SWRC) affects the analysis of shallow slope stability for differently structured unsaturated soils. Advanced empirical or physically-based equations of SWRCs have been proposed in literature to describe soil systems characterized by the so-called bimodal porous domain. In unsaturated soils, SWRC affects the stability assessment in two ways. It influences the resistance properties in terms of shear strengths, which depend on the soil water suction; and it affects the hydrological process modeling (e.g. infiltration) directly influencing soil moisture patterns and indirectly influenci…

Unsaturated soilsSoil texture0208 environmental biotechnologySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaFactor of safety04 agricultural and veterinary sciences02 engineering and technologyHydrological modelingBimodal pore size distributionBimodal pore size distribution; Factor of safety; Hydrological modeling; Slope failure; Unsaturated soils; Earth-Surface Processes020801 environmental engineeringInfiltration (hydrology)Factor of safetySlope stabilitySoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceGeotechnical engineeringUnsaturated soilSlope failureSaturation (chemistry)PorosityWater contentEarth-Surface Processes
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Analyses spectrale et texturale de données haute résolution pour la détection automatique des maladies de la vigne

2019

‘Flavescence dorée’ is a contagious and incurable disease present on the vine leaves. The DAMAV project (Automatic detection of Vine Diseases) aims to develop a solution for automated detection of vine diseases using a micro-drone. The goal is to offer a turnkey solution for wine growers. This tool will allow the search for potential foci, and then more generally any type of detectable vine disease on the foliage. To enable this diagnosis, the foliage is proposed to be studied using a dedicated high-resolution multispectral camera.The objective of this PhD-thesis in the context of DAMAV is to participate in the design and implementation of a Multi-Spectral (MS) image acquisition system and …

Variable selection[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Maladies de la VigneSpectral analysisAnalyse de textureSélection de variablesFlavescence DoréeClassification de donnéesData classificationGrapevine diseasesTextural analysisAnalyse spectrale
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Influence of Site and Check Dam Characteristics on Sediment Retention and Structure Conservation in a Mexican River

2020

Previously, in a large river of Mexico regulated by more than 200 check dams, we demonstrated that vegetation cover and channel characteristics were the dominant factors on the structure conditions and capacity to store sediments. This study focuses on other categorical (i.e., check dam type and location, soil texture and land use) and numerical (i.e. water discharge, check dam dimensions) variables, to whom statistical analysis is applied, in order to assess their influence on sediment filling degree and conditions (functional or destroyed) of the check dams in the same river. ANOVA has shown that: (i) check dam type (gabion or stone) and location (headwater, middle or valley reaches), and…

Water dischargeHydrologyLand useSoil textureSedimentEnvironmental scienceStatistical analysisGabionVegetation coverCheck dam
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An Image Segmentation Algorithm based on Community Detection

2016

International audience; With the recent advances in complex networks, image segmentation becomes one of the most appropriate application areas. In this context, we propose in this paper a new perspective of image segmentation by applying two efficient community detection algorithms. By considering regions as communities, these methods can give an over-segmented image that has many small regions. So, the proposed algorithms are improved to automatically merge those neighboring regions agglomerative to achieve the highest modularity/stability. To produce sizable regions and detect homogeneous communities, we use the combination of a feature based on the Histogram of Oriented Gradients of the …

[ INFO ] Computer Science [cs]Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentation02 engineering and technology[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Minimum spanning tree-based segmentationImage texture0202 electrical engineering electronic engineering information engineeringcommunity detection[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Segmentation[INFO]Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]modularityImage segmentationSegmentation-based object categorizationbusiness.industry[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Pattern recognitionImage segmentationcomplex networksHistogram of oriented gradientsRegion growing020201 artificial intelligence & image processingArtificial intelligencebusiness
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