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.
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Showing 1 to 20 of 126 for “"Reconstruction Algorithm"”.
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A parallel stereo reconstruction algorithm with applications in entomology (Apsra)
We propose a fast parallel algorithm for reconstruction of 3-Dimensional point clouds of insects from binocular stereo image pairs using a hierarchical approach for disparity estimation.When considering the large collections of insects Entomologists analyze,it becomes difficult to physically handle …
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Interferometric tomography: Reconstruction algorithm, experiment, and comparison with a numerical study.
Interferometric tomography: Reconstruction algorithm, experiment, and comparison with a numerical study.
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An investigation into the design of an image reconstruction algorithm for continuous wave tomosynthesis
… imaging modality and it will require a complex reconstruction algorithm to process its projection data and recreate the object planes. This paper details a reconstruction algorithm proposed for continuous wave tomosynthesis which is based on the filtered back-projection reconstruction algorithm …
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Analysis and implementation of a high-order reconstruction algorithm for an unstructured finite volume flow solver
… scheme is demonstrated in the following ways: reconstruction of variables from a smooth function, verification by the method of manufactured solutions, and quantitative and qualitative results from the solution of compressible, inviscid flows.
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A direct D-bar reconstruction algorithm for complex admittivities in W2,∞(Ω) for the 2-D EIT problem
… formulas to turn her proof into a direct D-bar reconstruction algorithm that solves the full nonlinear admittivity problem in 2-D are described. Reconstructions for simulated Finite Element data for circular and non-circular domains are presented.
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Spatial Resolution Analysis of a Variable Resolution X-ray Cone-beam Computed Tomography System
… system for each case described above. A new 3D reconstruction algorithm was developed and tested for the VRX-CBCT system, which combined with a novel 3D reconstruction algorithm, has improved the overall resolution of the system compared to an FDK-based algorithm.</p>
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Opportunistic Sampling by Level-Crossing
… an ideal enabler of reliable and perfect signal reconstruction, it is not always economical and efficient. LC is a threshold-based sampling that is particularly suitable for processing bursty signals, which exist in a diverse range of settings. The motivations for this work are twofold: one is to …
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Investigation of topics in radar signal processing
… first topic, we investigate a promising image reconstruction algorithm proposed by W. Lawton for spotlight-mode synthetic aperture radar (SAR). The spatial domain image is produced through a series of convolutions and DFTs, all performed using FFTs. We show that the algorithm implements a form …
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Algorithms for Tomographic Reconstruction: Fast Back Projection and Cardiac Computed Tomography
The second problem we address is that of the reconstruction of a movie of the moving heart from fan-beam tomographic projections. We consider the problem within a state-space framework and present a reconstruction algorithm based on the ensemble Kalman filter. The algorithm reconstructs a movie of …
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Reconstructing nuclear recoil tracks in the Dark Matter Time Projection Chamber
… is the fidelity of nuclear recoil track reconstruction. By extracting parameters such as the angle and vector direction of nuclear recoils, DMTPC has sensitivity to the anisotropic WIMP signal. This thesis develops a new track reconstruction algorithm motivated by the physics of nuclear …
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Three-Dimensional Tomographic Imaging of the Ionosphere Using Global Positioning System Measurements
… movement of ionospheric structures through the reconstruction region. Lastly, simulations demonstrate the applicability of CPS occultation data as additional reference information and tomographic projections in the reconstruction algorithm.
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Measurement of K+ Production in νμ Charged-Current Interactions on Liquid Argon with MicroBooNE and Enhancing Proton Decay Sensitivity at DUNE
… to suppress background events, and a specialised reconstruction algorithm was designed to enhance the identification of K+ decays. Furthermore, a dedicated reconstruction algorithm was developed for proton decay via the channel p→νK⁺ with the DUNE detector. This algorithm significantly enhances …
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Magnetic resonance image reconstruction from highly undersampled K-Space data using dictionary learning
… the sparsity of MR images to enable accurate reconstruction from undersampled k-space data. Recent CS methods have employed analytical sparsifying transforms such as wavelets, curvelets, and finite differences. In this thesis, we propose a novel framework for adaptively learning the …
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Development of Advanced Image Processing Algorithms for Bubbly Flow Measurement
… in recorded image data. The segmentation and reconstruction of overlapping bubbles in these images is a challenging task. This dissertation provides a complete set of image processing algorithms for bubbly flow measurement. The developed algorithm can deal with bubble overlapping issues and …
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Design and prototyping of a real-time millimeter wave imaging system
… the development of a novel comprehensive image reconstruction algorithm. The hardware design includes custom transmitter and receiver sub-systems, and a sparse switched array which was optimized for 320 mm x 220 mm aperture plane, and also included an improved antipodal Vivaldi antenna featuring …
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Monte-Carlo simulations of positron emission tomography based on liquid xenon detectors
… compare performance characteristics. A Compton reconstruction algorithm was developed for the LXe scanner, and its performance and limitations studied.
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A Compressed Sensing Approach to Detect Immobilized Nanoparticles Using Superparamagnetic Relaxometry
… problem is ill posed. Current methods of source reconstruction rely on prior knowledge of the number of clusters of bound nanoparticles and their approximate locations, which is not known in clinical applications. In this work, we present a novel reconstruction algorithm based on compressed …
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Advanced image processing methods for 3D high-throughput microscopy
… by developing efficient feature detection and 3D reconstruction methods, two key aspects in the image processing. For high-throughput feature detection, I developed a pipeline together with a new spot detection algorithm for large-scale 3D imaging of cells and tissues. It automates: (1) selecting …
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