Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 38 for “"noise removal"”.
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Sparse representation for audio noise removal using zero-zone quantizers
… zone over the transform coefficients leads to noise removal. In this thesis, such quantizers are applied over Discrete Fourier Transform and Karhunen Loeve Transform coefficients separately, and outputs compared. Further, the localization of the zero zones to certain frequencies leads to better …
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Fuzzy techniques for noise removal in image sequences and interval-valued fuzzy mathematical morphology
… the sequences are however usually corrupted by noise, which hampers the functioning of many image processing techniques. A preprocessing module to filter the images often becomes necessary. After an introduction to fuzzy set theory and image processing, in the first main part of the thesis, …
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Phenomenological Approaches to the Analysis of High-Throughput Biological Experiments
… experiments. In particular, novel methods for noise removal and for visualization are presented.
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Engineering Drawing Segmentation and Understanding For Building Construction Digital Twins
… and engineering drawing preprocessing and noise removal. The legend extraction module combines histogram segmentation with Paddle OCR, enabling accurate extraction across heterogeneous MEP legend images. The engineering drawing preprocessing and noise removal module removes background …
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Algoritmo Non-Local Means e Otimizações.
… Non-Local Means algorithm has great results in noise removal, although its computational complexity is high, making the algorithm not viable for practical use. Many papers have been presented with the objective of enhance the performance of the filter and reduce the complexity of the algorithm. …
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Discrimination of water from shadow regions on radar imagery using computer vision techniques
… system which consists of a texture preserving noise removal procedure as the preprocessing step, a probabilistic relaxation algorithm to do the low level labeling and a spatial reasoning procedure based on a relational model to perform the high level interpretation. The experimental results …
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Road detection on radar imagery
… technique for noisy images, an adaptive noise removal algorithm, and suggests a practical method of estimating a local noise variance.
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Application of Wavelet Analysis and Cross-Correlation Techniques to Wide Area Monitoring of Power Systems
… signal processing techniques for noise removal. Finally, the technique is implemented in Matlab and applied to simulated phasor measurements from an IEEE 14-bus test system implemented in PSCAD/EMTDC, in addition to a real-world phasor measurement data set.</p>
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Implementation of Separable & Steerable Gaussian Smoothers on an FPGA
… filters have been extensively used for noise removal and image restoration. Directional filters are widely used in computer vision and image processing tasks such as motion analysis, edge detection, line parameter estimation and texture analysis. It is practically impossible to tune the …
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Connected operators for unsupervised image segmentation
… is shown to improve established methods of image noise removal using the discrete wavelet transform.
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Ultimate Compression After Impact Load Prediction in Graphite/Epoxy Coupons Using Neural Network and Multivariate Statistical Analyses
… Particular emphasis was placed upon the noise removal process which was largely responsible for the accuracy of the results.</p>
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An improved microarray image analysis architecture using mathematical morphology
… requires pre-requisite analysis stages including noise removal, and followed by location gridding. However, it remains as a challenging task for microarray analysis due to the variation of noise that infested the images. In this study, microarray analysis architecture using mathematical morphology …
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Ανάπτυξη συστήματος τομογραφικής απεικόνισης σε εξομοιωτή ακτινοθεραπείας
… been developed for the separation and subsequent removal of undesirable information from the reconstructed plane. The method involves the reconstruction of the blur originating in user-selected "noisy" planes as this appears on the plane of interest. This is achieved by projecting the …
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Portal Imaging Using a CSI (TL) Scintillator Coupled to a Cooled CCD Camera
… protocol was comprised of <br />preprocessing, noise removal and image enhancement algorithms. An adaptive median filter <br />algorithm for the removal of impulse noise was developed, analyzed and incorporated into the <br />image processing protocol.</p> <p>Results from the theoretical …
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Microphone suppression of air-noise on geophones
Air-noise in seismic records creates a loss in signal quality, reducing seismic image clarity. A microphone may be used to estimate and remove air-noise in seismic records. This thesis covers the characterization of air-noise on a prototype 4-Component geophone (3-C geophone plus microphone), as …
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Robust and flexible multi-scale medial axis computation
… object. Thus it provides a sound balance between noise removal and preserving detail. The robustness of the MMA has been reflected in many existing applications in object segmentation, recognition, description and registration. This thesis aims to improve the computational aspects of the MMA. The …
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Methods for Improving Signal to Noise Ratio in Raman Spectra
… means that Raman spectroscopy is vulnerable to noise. This makes system optimisations, as well as efficient and reliable noise removal, a necessity in sensitive applications such as chemical classification or diagnostics. Provided in this thesis are software and experimental methodologies to …
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Single atom imaging with time-resolved electron microscopy
… a new set of challenges, particularly regarding noise and the interaction between the electron beam and the specimen. This thesis develops a set of analytical tools for capturing atomic motion and analyzing the dynamic behaviour of materials at the atomic scale. Machine learning is increasingly …
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A Probabilistic Classification Algorithm With Soft Classification Output
… in conjunction with PIGSCR (parallel IGSCR), a noise removal method based on the maximum noise fraction (MNF), and a continuous version of IGSCR (CIGSCR) that outputs soft classifications. All of the above are either classification algorithms or preprocessing algorithms necessary prior to the …
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GPU Accelerated Refined Tensor Voting
… However, they often fail in the presence of noise or extracting higher-level structures. Noise removal techniques such as Gaussian blur exist. Still, they usually come at the cost of losing essential details in the image, leading to a smoothing effect that can obscure critical features such …
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