Search results for "texture"

showing 10 items of 402 documents

Eh and pH gradients in Camembert cheese during ripening: Measurements using microelectrodes and correlations with texture

2007

International audience; This study investigated the use of microelectrodes to continuously and simultaneously monitor pH and redox potential (Eh) gradients in Camembert cheeses from the rind to the core, as a function of ripening time (15 and 35 days). Cheeses were shown to be heterogeneous throughout their mass. An Eh gradient existed from the rind to the core. The surface was oxidizing (+330 to +360 mV) and the core was reducing and became more so in the course of ripening (−300 to −360 mV). A relationship between firmness and Eh was shown. pH gradients were in line with those previously described in the literature and related to ammonium and lactate gradients. Gradients evolved from the …

RipeningCheese ripeningCamembert cheeseEH gradientApplied Microbiology and BiotechnologyRedoxchemistry.chemical_compoundMicroelectrodechemistryPH gradientOxidizing agentMicroelectrodeCamembert cheese[SDV.IDA]Life Sciences [q-bio]/Food engineeringAmmoniumTexture (crystalline)Food scienceTextureFood Science
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Rotation-Invariant Texture Retrieval via Signature Alignment Based on Steerable Sub-Gaussian Modeling

2008

This paper addresses the construction of a novel efficient rotation-invariant texture retrieval method that is based on the alignment in angle of signatures obtained via a steerable sub-Gaussian model. In our proposed scheme, we first construct a steerable multivariate sub-Gaussian model, where the fractional lower-order moments of a given image are associated with those of its rotated versions. The feature extraction step consists of estimating the so-called covariations between the orientation subbands of the corresponding steerable pyramid at the same or at adjacent decomposition levels and building an appropriate signature that can be rotated directly without the need of rotating the im…

RotationComputational complexity theoryGaussianFeature extractionNormal DistributionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern Recognition Automatedsymbols.namesakeImage textureArtificial IntelligenceImage Interpretation Computer-AssistedComputer SimulationGaussian processImage retrievalMathematicsModels Statisticalbusiness.industryPattern recognitionImage EnhancementComputer Graphics and Computer-Aided DesignSimilitudeSubtraction TechniquesymbolsRotational invarianceArtificial intelligencebusinessAlgorithmsSoftwareIEEE Transactions on Image Processing
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In-mouth mechanisms leading to flavor release and perception.

2011

Review; International audience; During eating, foods are submitted to two main oral processeschewing, including biting and crushing with teeth, and progressive impregnation by saliva resulting in the formation of a cohesive bolus and swallowing of the bolus. Texture influences the chewing behavior, including mastication and salivation, and in turn, these parameters influence texture perception and bolus formation. During this complex mouth process, flavor compounds are progressively released from the food matrix. This phenomenon is mainly dependent on the food texture, the composition and in-mouth breakdown, and on saliva impregnation and activity, but an individual's anatomical and physiol…

Saliva[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionmedia_common.quotation_subjectTexture perceptionperceptionIndustrial and Manufacturing Engineering03 medical and health sciencesEating0404 agricultural biotechnology0302 clinical medicinestomatognathic systemPerceptionfood breakdownFood scienceSalivaMasticationFlavormedia_commonoral physiologyMouthmodelChemistrydigestive oral and skin physiologyflavor releaseTaste Perception030206 dentistry04 agricultural and veterinary sciencesGeneral MedicineModels Theoretical040401 food scienceDeglutitionFlavoring Agentsstomatognathic diseasesBitingSaliva compositionFoodTasteMasticationBolus (digestion)Salivationtexture[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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Feeding ecology and chewing mechanics in hoofed mammals: 3D tribology of enamel wear.

2013

11 pages; International audience; Large herbivorous mammals have evolved chewing systems capable of processing a large variety of structurally diverse foods. Three-dimensional (3D) surface texture parameters are applied to investigate wear mechanisms related to tooth morphology, food source, and chewing dynamics. We tested 46 industrial 3D surface texture parameters for their capability to robustly indicate specific biomechanics in two grazing (Blue Wildebeest and Grevy's Zebra) and two browsing (Giraffe and Black Rhinoceros) ungulate mammals. These species inhabit sub-Saharan Africa and represent foregut and hindgut fermenters. The results did not indicate a wavelength threshold that can c…

Scale (anatomy)UngulateMaterials scienceTribology[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionChewing mechanismsSurface finishTexture (geology)WearMaterials ChemistryAnisotropySurface textureMasticationUngulate[ SDE.BE ] Environmental Sciences/Biodiversity and EcologybiologyEnamel paintTooth surfaceSurfaces and InterfacesCondensed Matter Physicsbiology.organism_classificationSurfaces Coatings and FilmsMechanics of Materialsvisual_artvisual_art.visual_art_mediumBiological system
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Scale detection via keypoint density maps in regular or near-regular textures

2013

In this paper we propose a new method to detect the global scale of images with regular, near regular, or homogenous textures. We define texture ''scale'' as the size of the basic elements (texels or textons) that most frequently occur into the image. We study the distribution of the interest points into the image, at different scale, by using our Keypoint Density Maps (KDMs) tool. A ''mode'' vector is built computing the most frequent values (modes) of the KDMs, at different scales. We observed that the mode vector is quasi linear with the scale. The mode vector is properly subsampled, depending on the scale of observation, and compared with a linear model. Texture scale is estimated as th…

Scale (ratio)Computer sciencebusiness.industryTextonScale-invariant feature transformPattern recognitionSIFT SURF Harris corner Texture Scale Texel TextonTexture (geology)Artificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessTexelSoftware
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Effect of Impregnation and Activation Conditions of Al2O3/CuO Supported Monolith Catalysts in the Reduction of NO

1979

Reduction of NO in the presence of CO and Ar was examined on two series of monolithic sheets carrying an active CuO/Al 2 O 3 layer. In the impregnation procedure the ratio of Al 2 O 3 to CuO was varied in a wide range. The texture of the layer and the dispersion of CuO therein was controlled by mercury porosimetry, scanning electron microscopy and secondary ion mass spectrometry (SIMS). It could be established that the surface concentration of CuO determined by SIMS measurements is the most decisive quantity of the catalyst correlating linearly with the conversion of NO.

Secondary ion mass spectrometrygeographygeography.geographical_feature_categoryScanning electron microscopeChemistryAnalytical chemistryPorosimetryTexture (crystalline)MonolithDispersion (chemistry)Layer (electronics)Catalysis
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Quality Changes of Tropical and Subtropical Fresh-Cut Fruits Mix in Modified Atmosphere Packaging

2017

Application of passive modified atmosphere packaging (MAP) for shelf life extension of mixed pineapple slices, mango pieces and orange segments, was evaluated. Fruits of Ananas cv ‘Gold’, Mango cv ‘Keitt’ and Orange cv ‘Washington Navel’ were washed, sanitized, peeled and cut. Minimal processed fruits were packed under 2 different atmospheres, passive (air) and active MAP (70% N2, 10 %O2, 20 %CO2), and stored at 10±1 °C with 85±5% RH for 12 days. Changes in package atmosphere composition, weight loss, color, texture, pH, soluble solids, sensory attributes, were evaluated after cutting and at three subsequent stages of storage (the 3 day, 6d, 9d, and the 12 day). Color parameters L* and b* s…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni Arboreelcsh:Computer engineering. Computer hardwareSettore AGR/13 - Chimica Agrarialcsh:TP155-156lcsh:TK7885-7895lcsh:Chemical engineeringAnanas Mango Orange weight loss color texture pH soluble solids sensory attributes post-harvestChemical Engineering Transactions
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Petrographic and textural characteristics and mechanical behaviour of Sicilian calcarenites

2011

Settore ICAR/07 - Geotecnicacalcarenites texture yielding destructuration
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Image Segmentation based on Genetic Algorithms Combination

2005

The paper describes a new image segmentation algorithm called Combined Genetic segmentation which is based on a genetic algorithm. Here, the segmentation is considered as a clustering of pixels and a similarity function based on spatial and intensity pixel features is used. The proposed methodology starts from the assumption that an image segmentation problem can be treated as a Global Optimization Problem. The results of the image segmentations algorithm has been compared with recent existing techniques. Several experiments, performed on real images, show good performances of our approach compared to other existing methods.

Settore INF/01 - InformaticaComputer scienceSegmentation-based object categorizationbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationImage segmentationReal imageGenetic Algorithms clusteringImage textureMinimum spanning tree-based segmentationRegion growingComputer Science::Computer Vision and Pattern RecognitionSegmentationComputer visionArtificial intelligenceCluster analysisbusiness
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Content Based Indexing of Image and Video Databases by Global and Shape Features

1996

Indexing and retrieval methods based on the image content are required to effectively use information from the large repositories of digital images and videos currently available. Both global (colour, texture, motion, etc.) and local (object shape, etc.) features are needed to perform a reliable content based retrieval. We present a method for automatic extraction of global image features, like colour and motion parameters, and their use for data restriction in video database querying. Further retrieval is therefore accomplished, in a restricted set of images, by shape feature (skeleton, local symmetry moments, correlation, etc.) local search. The proposed indexing methodology has been deve…

Settore INF/01 - InformaticaComputer sciencebusiness.industrySearch engine indexingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCBIR video indexing image analysisDigital imageAutomatic image annotationImage textureFeature (computer vision)Computer visionLocal search (optimization)Visual WordArtificial intelligencebusinessImage retrieval
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