Search results for "Haar wavelet"

showing 10 items of 10 documents

Image Enhancement Algorithm for Optical Microstructural Characterization of Shape Memory TiNi Friction Stir Processed

2017

Abstract A key topic regarding TiNi alloys concerns the possibility to attain junctions that preserve the shape memory properties of material. Experimental tests, previously performed on TiNi sheet friction stir processed, have highlighted the need to develop an appropriate image analysis method to quantify the various phases percentages present in the characteristics zones of Friction Stir Welding process. A proper Image Processing procedure has been performed in order to quantify the amount of the martensitic phase and to detect its morphology modification along to the processed region. Particularly each micrographic image, firstly, has been denoised using the 2D Wavelet transform techniq…

0209 industrial biotechnologyFriction stir processingMaterials scienceWavelet transformImage processing02 engineering and technologyGeneral MedicineShape-memory alloyImage enhancement shape memory alloy friction stir processingHaar wavelet020901 industrial engineering & automationWavelet0202 electrical engineering electronic engineering information engineeringFriction stir welding020201 artificial intelligence & image processingAdaptive histogram equalizationAlgorithmProcedia Engineering
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Combining Haar Wavelet and Karhunen Loeve Transforms for Medical Images Watermarking

2014

This paper presents a novel watermarking method, applied to the medical imaging domain, used to embed the patient’s data into the corresponding image or set of images used for the diagnosis. The main objective behind the proposed technique is to perform the watermarking of the medical images in such a way that the three main attributes of the hidden information (i.e., imperceptibility, robustness, and integration rate) can be jointly ameliorated as much as possible. These attributes determine the effectiveness of the watermark, resistance to external attacks, and increase the integration rate. In order to improve the robustness, a combination of the characteristics of Discrete Wavelet and K…

Diagnostic ImagingArticle SubjectComputer scienceWavelet Analysislcsh:Medicine02 engineering and technologyGeneral Biochemistry Genetics and Molecular BiologyWaveletRobustness (computer science)[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringDigital watermarkingComputer SecurityBlock (data storage)Karhunen–Loève theoremGeneral Immunology and Microbiologybusiness.industryVisibility (geometry)lcsh:RReproducibility of Results020207 software engineeringPattern recognitionWatermarkGeneral MedicineHaar wavelet[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingArtificial intelligencebusinessAlgorithmsResearch Article
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EMG artifacts removal during electrical stimulation, a CWT based technique

2014

International audience; A technique of artifacts removal based on the continuous wavelet transform is presented. It uses common mother wavelets to find the temporal localization of stimulation artifacts on electromyogram (EMG) signal during an electrically evoked contraction of a muscle. This method can be used with standard stimulation pulse waveforms like monophasics or biphasics ones. It uses a histogram representation to find the best threshold to apply on the CWT domain. The algotithm is presented with Haar wavelet and then it is used with common wavelet famillies such as Daubechies or Symlets.

Discrete wavelet transformstimulation artifacts0206 medical engineering02 engineering and technologyElectromyography[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing03 medical and health sciences0302 clinical medicineWaveletHistogramwaveletmedicineSource separationWaveformComputer visionContinuous wavelet transformMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing030222 orthopedicsmedicine.diagnostic_testbusiness.industryhistogram representationPattern recognition020601 biomedical engineeringHaar waveletElectromyogram[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronicssource separationArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Vibration Control of a Base-Isolated Building using Wavelets

2011

Author's version of a chapter in the book: Proceedings of the 18th IFAC World Congress 2011. Also available from the publisher at: http://dx.doi.org/10.3182/20110828-6-IT-1002.03169

EngineeringWaveletbusiness.industryVibration controlControl engineeringBase (topology)businessHaar waveletIFAC Proceedings Volumes
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Wavelet variance differences in atrial fibrillation during anaesthetic effect

2008

Effect of anaesthetic agents in restoration rhythm procedures during atrial fibrillation (AF) has not been fully investigated. We evaluated the effects of a widely used anaesthetic agent (propofol) in the fibrillation patterns. Intra-atrial recordings belong to 18 patients diagnosed with AF were analyzed ldquobeforerdquo (baseline) and ldquoduringrdquo anaesthetic infusion. The goal of this study is to characterize the variation in atrial properties along the atria in both states. The wavelet variance decomposes the variance of a time series on a scale by scale basis and hence has considerable appeal when physical phenomena are analyzed in terms of variations operating over a range of diffe…

Fibrillationmedicine.diagnostic_testbusiness.industryWavelet transformAtrial fibrillationmedicine.diseaseHaar waveletRhythmWaveletAnesthesiacardiovascular systemmedicinemedicine.symptombusinessPropofolElectrocardiographymedicine.drug2008 Computers in Cardiology
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A New Wavelet Tool to Quantify Non-Periodicity of Non-Stationary Economic Time Series

2020

We introduce a new wavelet tool, the windowed scale index, to study the degree of non-periodicity of time series. The windowed scale index is based on some recently defined tools, such as the windowed scalogram and the scale index. This novel measure is appropriate for non-stationary time series whose characteristics change over time and, therefore, it can be applied to a wide variety of disciplines. Furthermore, we revise the concept of the scale index and pose a theoretical problem: it is known that if the scale index of a function is not zero then it is non-periodic, but if the scale index of a function is zero, then it is not proved that it has to be periodic. This problem is solved for…

Index (economics)Scale (ratio)Computer scienceGeneral Mathematics01 natural sciencesMeasure (mathematics)wavelets03 medical and health sciencesWavelet0103 physical sciencesComputer Science (miscellaneous)010301 acousticsEngineering (miscellaneous)030304 developmental biology0303 health sciencesscale indexSeries (mathematics)lcsh:Mathematicschaotic dynamical systemsFunction (mathematics)lcsh:QA1-939Haar waveletSample entropyEconomia matemàticaAlgorithmnon-periodicityMathematics
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Texture Guided Active Appearance Model Propagation for Prostate Segmentation

2010

Fusion of Magnetic Resonance Imaging (MRI) and Trans Rectal Ultra Sound (TRUS) images during TRUS guided prostate biopsy improves localization of the malignant tissues. Segmented prostate in TRUS and MRI improve registration accuracy and reduce computational cost of the procedure. However, accurate segmentation of the prostate in TRUS images can be a challenging task due to low signal to noise ratio, heterogeneous intensity distribution inside the prostate, and imaging artifacts like speckle noise and shadow. We propose to use texture features from approximation coefficients of Haar wavelet transform for propagation of a shape and appearance based statistical model to segment the prostate i…

Prostate biopsymedicine.diagnostic_testbusiness.industryComputer scienceSpeckle noiseMagnetic resonance imagingPattern recognitionHaar waveletActive appearance modelShadowmedicineSegmentationComputer visionArtificial intelligencebusiness
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Tetrolet-based reduced reference image quality assessment approach

2014

In this paper, we propose a new reduced reference image quality assessment (RRIQA) scheme. For this purpose, we use a statistical-based method in a new adaptive Haar wavelet transform domain, called Tetrolet. Firstly, we decompose the reference and distorted images and we obtain the Tetrolet coefficients for each image. Secondly, we use a marginal Generalized Gaussian Density (GGD) to model each subband coefficients. Finally, the distortion measure is computed using the Kullback Leibler Divergence (KLD) between GGD Probability density function (PDFs). Experimental results show the efficiency of the proposed method when comparing to those reported in the literature.

Reference imageKullback–Leibler divergencebusiness.industryComputer scienceDistortionPattern recognitionProbability density functionArtificial intelligencebusinessMeasure (mathematics)Domain (mathematical analysis)Haar waveletImage (mathematics)2014 International Conference on Multimedia Computing and Systems (ICMCS)
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Noise decomposition in random telegraph signals using the wavelet transform

2007

Abstract By using the continuous wavelet transform with Haar basis the second-order properties of the wavelet coefficients are derived for the random telegraph signal (RTS) and for the 1 / f noise which is obtained by summation of many RTSs. The correlation structure of the Haar wavelet coefficients for these processes is found. For the wavelet spectrum of the 1 / f noise some characteristics related to the distribution of the relaxation times of the RTS are derived. A statistical test based on the characterization of the time evolution of the scalogram is developed, which allows to detect non-stationarity in the times τ 's which compose the 1 / f process and to identify the time scales of …

Statistics and ProbabilityDiscrete wavelet transformSpectral densityWavelet transformCondensed Matter PhysicsNoise (electronics)Haar waveletsymbols.namesakeWaveletFourier transformStatisticssymbolsStatistical physicsContinuous wavelet transformMathematicsPhysica A: Statistical Mechanics and its Applications
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Vibration control of a base-isolated building using wavelets

2011

Author's version of a chapter in the book: Proceedings of the 18th IFAC World Congress 2011. Also available from the publisher at: http://dx.doi.org/10.3182/20110828-6-IT-1002.03169 This paper proposes a numerical approach for finding an optimal control based on wavelet functions for vibration reduction of a base-isolated building subjected to actual earthquakes. The objective is two-fold: (1) to find a computational method using properties of Haar functions, and (2) to calculate controller gains approximately by solving only algebraic equations instead of solving the Riccati differential. Simulation results are included to demonstrate the validity and applicability of the technique.

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413VDP::Technology: 500::Mechanical engineering: 570Haar wavelet vibration control structural control
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