Browsing University of Waterloo by Subject "image processing"
Now showing items 1-20 of 25
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An Analysis of Stockwell Transforms, with Applications to Image Processing
(University of Waterloo, 2014-04-30)Time-frequency analysis is a powerful tool for signal analysis and processing. The Fourier transform and wavelet transforms are used extensively as is the Short-Time Fourier Transform (or Gabor transform). In 1996 the ... -
An Automated Malignant Tumour Localization Algorithm for Prostate Cancer Detection in Trans-rectal Ultrasound Images
(University of Waterloo, 2004)The goal of this thesis is to design, implement and evaluate an automated algorithm to detect cancerous tissues and segment the malignant tumour in ultrasound images of the prostate. To accomplish this goal, first, the ... -
Automated Segmentation of Retinal Optical Coherence Tomography Images
(University of Waterloo, 2018-08-21)Aim. Optical Coherence Tomography (OCT) is a fast and non-invasive medical imaging technique which helps in the investigation of each individual retinal layer structure. For early detection of retinal diseases and the study ... -
Cell Path Reconstruction Using 3D Digital Inpainting
(University of Waterloo, 2013-08-06)Digital inpainting is the reconstruction of a missing or damaged region in a digital image. Intensity values in the missing region are approximated using information near the boundary of the region. Some applications include ... -
Collaborative design and feasibility assessment of computational nutrient sensing for simulated food-intake tracking in a healthcare environment
(University of Waterloo, 2021-11-19)One in four older adults (65 years and over) are living with some form of malnutrition. This increases their odds of hospitalization four-fold and is associated with decreased quality of life and increased mortality. In ... -
Correction Methods for Non-Stationary Noise Floor in Sentinel-1 Images Using Convex Optimization
(University of Waterloo, 2020-09-03)Synthetic aperture radar (SAR) is a method of creating images of the surface of the Earth by emitting and receiving radar waves. Sentinel-1 is a SAR platform made by the European Space Agency (ESA) that provides a source ... -
Deep SELECTOR-JPEG: ADAPTIVE JPEG IMAGE COMPRESSION FOR COMPUTER VISION IN IMAGE CLASSIFICATION AND HUMAN VISION
(University of Waterloo, 2021-01-18)Deep Neural Networks (DNNs) demonstrate excellent performance in many Computer Vision (CV) applications such as image classification. To meet storage/bandwidth requirements, the input images to these CV applications are ... -
Digital Tuft Flow Visualisation of Wind Turbine Blade Stall
(University of Waterloo, 2014-05-20)Wind turbines installed in the open atmosphere experience much more complex and highly-varying flow than their counterparts in wind tunnels or numerical simulations. In particular, aerodynamic stall—which occurs often on ... -
Evolutionary Design for Computational Visual Attention
(University of Waterloo, 2003)A new framework for simulating the visual attention system in primates is introduced. The proposed architecture is an abstraction of existing approaches influenced by the work of Koch and Ullman, and Tompa. Each stage ... -
Facilitating Breast Conserving Surgery Using Preoperative MRI
(University of Waterloo, 2018-09-21)Breast cancer is currently considered the most widespread malignancy in women, which costs the lives of approximately 400,000 people annually worldwide. While extremely useful for early detection and diagnosis of breast ... -
General Adaptive Monte Carlo Bayesian Image Denoising
(University of Waterloo, 2010-01-13)Image noise reduction, or denoising, is an active area of research, although many of the techniques cited in the literature mainly target additive white noise. With an emphasis on signal-dependent noise, this thesis presents ... -
HARDI Denoising using Non-local Means on the ℝ³ x 𝕊² Manifold
(University of Waterloo, 2012-01-05)Magnetic resonance imaging (MRI) has long become one of the most powerful and accurate tools of medical diagnostic imaging. Central to the diagnostic capabilities of MRI is the notion of contrast, which is determined by ... -
Inverse Problems and Self-similarity in Imaging
(University of Waterloo, 2008-08-06)This thesis examines the concept of image self-similarity and provides solutions to various associated inverse problems such as resolution enhancement and missing fractal codes. In general, many real-world inverse ... -
Monte Carlo Framework for Prostate Cancer Correction and Reconstruction in Endorectal Multi-parametric MRI
(University of Waterloo, 2014-07-31)Prostate cancer is one of the leading causes of cancer death in the male population. The detection of prostate cancer using imaging has been challenging until recently. Multi-parametric MRI has been shown to allow accurate ... -
Multiphysics Modelling of Energy Storage Devices Using Pore Scale Approaches
(University of Waterloo, 2020-12-16)The advancement in high-resolution X-ray tomography image acquisition techniques has enabled imaged-based modelling of pore-scale transport processes to better understand structural performance relationship in porous media. ... -
Multiple Tools for Automated Nanofiber Characterization by Image Processing
(University of Waterloo, 2022-05-10)Nanofibers have been widely used in many engineering applications, including air filtration, energy storage, and biomedical engineering. Their performances largely depend on the morphology of nanofibers. The key morphological ... -
Multiscale Methods in Image Modelling and Image Processing
(University of Waterloo, 2005)The field of modelling and processing of 'images' has fairly recently become important, even crucial, to areas of science, medicine, and engineering. The inevitable explosion of imaging modalities and approaches ... -
Regular Pattern Detection and Analysis Using Shapelets
(University of Waterloo, 2014-10-27)The presence of regular patterns in natural and technological phenomena is pervasive, often being present in both time and space. To increase our understanding of many phenomena where patterns are present, measurable ... -
Reinforcement Learning for Parameter Control of Image-Based Applications
(University of Waterloo, 2004)The significant amount of data contained in digital images present barriers to methods of learning from the information they hold. Noise and the subjectivity of image evaluation further complicate such automated processes. ... -
Remotely Sensed Data Segmentation under a Spatial Statistics Framework
(University of Waterloo, 2010-01-18)In remote sensing, segmentation is a procedure of partitioning the domain of a remotely sensed dataset into meaningful regions which correspond to different land use and land cover (LULC) classes or part of them. So far, ...