Browsing Engineering (Faculty of) by Subject "image processing"
Now showing items 1-18 of 18
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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 ... -
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 ... -
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 ... -
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. ... -
Segmentation of 3D Carotid Ultrasound Images Using Weak Geometric Priors
(University of Waterloo, 2010-10-29)Vascular diseases are among the leading causes of death in Canada and around the globe. A major underlying cause of most such medical conditions is atherosclerosis, a gradual accumulation of plaque on the walls of blood ... -
Statistical Model-Based Corneal Reconstruction
(University of Waterloo, 2013-12-10)Precise measurements of corneal layer thickness are required to treat, evaluate risk of, and determine the progression of pathologies within the eye. The thickness measurements are typically acquired as 2d images, known ... -
Systematic Characterization Framework of Row-Column Ultrasound Imaging Systems
(University of Waterloo, 2015-04-30)3-D ultrasound imaging offers unique opportunities in the field of non-destructive testing that cannot be easily found in A-mode and B-mode images. To acquire a 3-D ultrasound image without a mechanically moving transducer, ... -
A Watermarking-Based Framework for Protecting Deep Image Classifiers Against Adversarial Attacks
(University of Waterloo, 2021-09-27)Although deep learning-based models have achieved tremendous success in image-related tasks, they are known to be vulnerable to adversarial examples---inputs with imperceptible, but subtly crafted perturbation which fool ... -
WatkeRR - Robotic Research Platform and Machine Vision System: Design, Development and Construction
(University of Waterloo, 2018-09-25)Rollators/wheeled walkers are a commonly used mobility aid that is utilized by people with a wide array of mobility challenges such as Alzheimer ’s disease, stroke, multiple sclerosis, and general loss of stability and ...