Search results for " image analysis"

showing 10 items of 94 documents

Motion and Color Based Video Indexing and Retrieval

1996

In this paper we present a method for automatic motion and color based video indexing and retrieval. Our system automatically splits a video into a sequence of shots and extracts a few representative frames (r-frames) from each shot. For each r-frame we compute the optical flow field; motion features are then derived from the flow field. Color features are related to the three-dimensional RGB color histogram. Queries (direct or by example) are based on these features. Obtained results proved that motion and color based querying can play a central role in content based video retrieval

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniVideo indexing image analysis
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JACOB: Just A COntent Based query system for video databases

1996

The increasing development of advanced multimedia applications requires new technologies for organizing and retrieving by content databases of still digital images or digital video sequences. The authors describe JACOB, a prototypal system allowing content-based browsing and querying in video databases. The JACOB system automatically splits a video into a sequence of shots, extracts a few representative frames (said r-frames) from each shot and computes r-frame descriptors based on features like color and texture. No user action is required during the database population step. Queries exploit this image content description and may be direct or by example

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniVideo indexing image analysis motion analysis
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Mean shift clustering for personal photo album organization

2008

In this paper we propose a probabilistic approach for the automatic organization of pictures in personal photo album. Images are analyzed in term of faces and low-level visual features of the background. The description of the background is based on RGB color histogram and on Gabor filter energy accounting for texture information. The face descriptor is obtained by projection of detected and rectified faces on a common low dimensional eigenspace. Vectors representing faces and background are clustered in an unsupervised fashion exploiting a mean shift clustering technique. We observed that, given the peculiarity of the domain of personal photo libraries where most of the pictures contain fa…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionFacial recognition systemVisualizationComputingMethodologies_PATTERNRECOGNITIONGabor filterImage textureCBIR image analysis image clusteringHistogramRGB color modelComputer visionMean-shiftArtificial intelligencebusinessFace detectionMathematics
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Adaptive Techniques for Microarray Image Analysis with Related Quality Assessment

2007

We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We pro- pose the microarray image rotation algorithm (MIRA) and the statis- tical gridding pipeline (SGRIP) as two advanced modules devoted to restoring the original microarray grid orientation and to detecting, the correct geometrical information about each spot of input mi- croarray, respectively. Both solutions work by making use of statis- tical observations, obtaining adaptive and reliable information about each spot property. They improve the performance of the microarray image segmentation pipeline (MISP) we rec…

Signal processingComputer scienceImage qualityPipeline (computing)Image processingImage segmentationcomputer.software_genreAtomic and Molecular Physics and OpticsComputer Science ApplicationsVisualizationmicroarray image analysisBinary dataSegmentationData miningElectrical and Electronic Engineeringcomputer
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Canopy Architecture Appraisal by Fractal Dimension of 'Flordastar' Peach Trees Grafted onto Different Rootstocks

2007

The objective of this research was to evaluate the modification of canopy architecture of ''Flordastar'' peach (Prunus persica L. Batsch) grafted onto rootstocks with different vigour, by the use of fractal dimension (D). The hypothesis was that different vigour rootstocks are able to modify the complexity of the branching pattern and that this effect can be assessed by a geometric parameter such as the fractal dimension (D) of the 2D projection of tree branching structure. The observations were carried out in a four-year-old experimental orchard of cv. ''Flordastar'' peach trees grafted onto Ishtara, Barrier, GF677 and MrS 2/5 rootstocks. On digital pictures of leafless, dormant peach tree…

The objective of this research was to evaluate the modification of canopy architecture of ''Flordastar'' peach (Prunus persica L. Batsch) grafted onto rootstocks with different vigour by the use of fractal dimension (D). The hypothesis was that different vigour rootstocks are able to modify the complexity of the branching pattern and that this effect can be assessed by a geometric parameter such as the fractal dimension (D) of the 2D projection of tree branching structure. The observations were carried out in a four-year-old experimental orchard of cv. ''Flordastar'' peach trees grafted onto Ishtara Barrier GF677 and MrS 2/5 rootstocks. On digital pictures of leafless dormant peach trees the tree skeleton was manually depicted by an image analysis software to measure total length and angles of insertion of branches. Bitmaps of the skeleton were then subjected to a specific software (FDCALC) able to calculate D by the "box counting" method. To account for the error introduced by analyzing a three dimensional structure with its 2D projection measurements were done on two images per tree taken from two different viewing angles. Results are shown in relation to tree vigour of the scion/stock combination. Fractal dimension was related to the vigour ranking of the graft combinations tested. In particular vigorous scion/stock combinations showed the highest D.HorticultureCanopy architectureHorticultureRootstockFractal dimensionMathematics
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How and why does willow biochar increase a clay soil water retention capacity?

2018

Addition of biochar into a soil changes its water retention properties by modifying soil textural and structural properties. In addition, internal micrometer-scale porosity that is able to directly store readily plant available water affects soil water retention properties. This study shows how precise knowledge of the internal micrometer-scale pore size distribution of biochar can deepen the understanding of the biochar-water interactions in soils. The micrometer-scale porosity of willow biochar was quantitatively and qualitatively characterized using X-ray tomography, 3D image analysis and Helium ion microscopy. The effect of biochar application on clay soil water retention was studied by…

Water retention curveSoil science010501 environmental sciencesmikroskopia01 natural sciencessavihuokoisuussoil water retentiontomografiaBiocharSurface roughnessmedicine3D image analysisbiochar3D-mallinnusPorosityta216Waste Management and DisposalWater contentta2180105 earth and related environmental sciences219 Environmental biotechnologybiohiilimaaperäta114Renewable Energy Sustainability and the EnvironmentChemistryForestry04 agricultural and veterinary sciences15. Life on land6. Clean waterWater retentionmikrorakenteetSoil structureplant available waterSoil water040103 agronomy & agriculturehelium ion microscopy0401 agriculture forestry and fisheriesmedicine.symptomvesipitoisuusAgronomy and Crop ScienceX-ray tomographyBiomass and Bioenergy
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A Robust Multi Stage Technique for Image Binarization of Degraded Historical Documents

2017

International audience; Document image binarization is a central problem in many document analysis systems. Indeed, it represents one of the basic challenges, especially in case of historical documents analysis. In this paper, we propose a novel robust multi stage framework that combines different existing document image thresholding methods for the purpose of getting a better binarization result. CLAHE technique is introduced to significantly enhance contrast in some poor images. The proposed method then uses a hybrid algorithm to partition image into foreground and background. A special procedure is finally applied in order to remove small noise and correct characters morphology. Experime…

adaptive thresholdingComputer scienceHistorical document image analysis[SPI] Engineering Sciences [physics]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyhybrid algorithm01 natural sciencesGrayscaleElectronic mail010309 optics[SPI]Engineering Sciences [physics]Histogram0103 physical sciences0202 electrical engineering electronic engineering information engineeringNoise measurementbusiness.industryPattern recognitionImage segmentationglobal thresholdingThresholding[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsComputingMethodologies_DOCUMENTANDTEXTPROCESSINGcontrast enhancement020201 artificial intelligence & image processingAlgorithm designAdaptive histogram equalizationArtificial intelligencebusiness
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Algorithms for the Automated Analysis of Age-Related Macular Degeneration Biomarkers on Optical Coherence Tomography: A Systematic Review

2017

PURPOSE To assess the quality of optical coherence tomography (OCT) grading algorithms for retinal biomarkers of age-related macular degeneration (AMD). METHODS Following a systematic review of the literature data on detection and quantification of AMD retinal biomarkers by available algorithms were extracted and descriptively synthesized. Algorithm quality was assessed using a modified version of the Quality Assessment of Diagnostic Accuracy Studies 2 checklist with a focus on accuracy against established reference standards and risk of bias. RESULTS Thirty five studies reporting computer-aided diagnosis (CAD) tools for qualitative analysis or algorithms for quantitative analysis were iden…

automated image analysisBiomedical EngineeringCADReviewDrusen030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineOptical coherence tomographyAge relatedmedicineGrading (tumors)age-related macular degenerationoptical coherence tomographymedicine.diagnostic_testbusiness.industryMacular degenerationmedicine.diseaseeye diseasesOphthalmologySystematic review030221 ophthalmology & optometryBiomarker (medicine)sense organsbusinessAlgorithmTranslational Vision Science & Technology
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Turbo-Roundabout: Case Study of Driver Behavior and Kinematic Parameters of Light and Heavy Vehicles

2019

AbstractThis research compared kinematic and behavior parameters of light and heavy vehicles at turbo-roundabouts. This is of interest because heavy vehicles can influence turbo-roundabout function...

biologyComputer scienceTurboDigital image analysisRoundaboutTransportationFunction (mathematics)Kinematicsbiology.organism_classificationAutomotive engineeringCivil and Structural EngineeringJournal of Transportation Engineering, Part A: Systems
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Comparative Study of Feature classification Methods for Mass Lesion Recognition in Digitized Mammograms

2007

In this work a comparison of different classification methods for the identification of mass lesions in digitized mammograms is performed. These methods, used in order to develop Computer Aided Detection (CAD) systems, have been implemented in the framework of the MAGIC-5 Collaboration. The system for identification of mass lesions is based on a three-step procedure: a) preprocessing and segmentation, b) region of interest (ROI) searching, c) feature extraction and classification. It was tested on a very large mammographic database (3369 mammographic images from 967 patients). Each ROI is characterized by eight features extracted from a co-occurrence matrix containing spatial statistics inf…

breast cancerComputer-aided diagnosis. Digital imaging. Image analysis. MammographysegmentationCAD systems mammographyclassification systemROC curve
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