Search results for "SHAPE analysis"

showing 2 items of 62 documents

An EEMD Aided Comparison of Time Histories and Its Application in Vehicle Safety

2017

In the context of signal processing, the comparison of time histories is required for different purposes, especially for the model validation of vehicle safety. Most of the existing metrics focus on the mathematical value only. Therefore, they suffer the measuring errors, disturbance, and uncertainties and can hardly achieve a stable result with a clear physical interpretation. This paper proposes a novel scheme of time histories comparison to be used in vehicle safety analysis. More specifically, each signal for comparison is decomposed into a trend signal and several intrinsic mode functions (IMFs) by ensemble empirical mode decomposition. The trend signals reflect the general variation a…

model validationDynamic time warpingGeneral Computer ScienceComputer science02 engineering and technologyHilbert–Huang transformEngineering (all)0203 mechanical engineeringVehicle safety0202 electrical engineering electronic engineering information engineeringIn vehicledynamic time warping (DTW)General Materials Sciencevehicle crashSimulationSignal processingdynamic time warping (DTW); Ensemble Empirical Mode Decomposition (EEMD); model validation; Time-history; vehicle crash; Computer Science (all); Materials Science (all); Engineering (all)Computer Science (all)General Engineering020302 automobile design & engineeringEnsemble Empirical Mode Decomposition (EEMD)Measurement uncertainty020201 artificial intelligence & image processingMaterials Science (all)lcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:TK1-9971AlgorithmTime-historyShape analysis (digital geometry)Motor vehicle crash
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Complex objects classified by morphological shape analysis and elliptical Fourier descriptors

2005

This chapter deals with the classification of complex objects by morphological shape analysis and elliptical Fourier descriptors. An unsupervised method has been proposed to identify components with specific shapes by a simple edge detector and to classify them via the description of their contours. A particular application has been arranged in order to evaluate the goodness of this approach when discriminating between normal and pathological human megakaryocytes. Alterations in these cells can occur in many pathological processes and in such cases the pattern, size and shape of the cytoplasm and/or of the nucleus are extremely varied.

symbols.namesakeFourier transformSettore INF/01 - InformaticaComputer sciencebusiness.industrysymbolsComputer visionArtificial intelligenceComplex objects classified by morphological shape analysis and elliptical Fourier descriptorsbusinessShape analysis (digital geometry)
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