Reconstruction of 3D models of the femur from planar x-rays for surgical planning by Oosthuizen, Jodri

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Improving hyperplane based density clustering solutions with applications in image processing by Kenyon, Jacob Bradley

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Application of CNN-gcForestCS to cassava leaf image classification by Carew, Liam

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Towards a framework for multi class statistical modelling of shape, intensity, and kinematics in medical images by Fouefack, Jean-Rassaire

“…Statistical modelling has become a ubiquitous tool for analysing of morphological variation of bone structures in medical images. …”
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Towards a framework for multi class statistical modelling of shape, intensity and kinematics in medical images by Fouefack, Jean-Rassaire

“…Statistical modelling has become a ubiquitous tool for analysing of morphological variation of bone structures in medical images. …”
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A LULU noise removal algorithm for images using principal component analysis

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Multiscale spatial modeling with applications in image analysis

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Bayesian convolutional neural networks : a probabilistic approach to address uncertainty in convolutional neural networks with an application in image processing

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Practical probabilistic systems for satellite image segmentation and classifcation by Mcgregor, Felix

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Near infrared (NIR) hyperspectral imaging and X-ray computed tomography combined with statistical and multivariate data analysis to study Fusarium infection in maize by Williams, Paul James

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L-classifier chains classification and variable selection for multi-label datasets by Du Toit, Monika

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Semiquantitative analysis of FDG PET brain scans using Neurostat and SPM by Munemo, Lionel Tapiwa

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Influence of acquisition time and smoothing parameters on Ga-68 wholebody PET/CT image quality by Diale, Boitshoko Phenyo

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Wavelet-based speech enhancement : a statistical approach by Harmse, Wynand

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Improving the generalisabiility of a deep learning model for global forest classification through image normalisation, enhancement and augmentation by Swaine, Michael

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Indirect soil salinity detection in irregated areas using earth observation methods by Muller, Sybrand Jacobus

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Using Neural Networks to identify Individual Animals from Photographs by Kabuga, Emmanuel

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Automated detection and classification of red roman in unconstrained underwater environments using Mask R-CNN by Conrady, Christopher

“…To address this gap in the literature, this thesis contributes (i) a novel image dataset of red roman (Chrysoblephus laticeps), a fish species endemic to Southern Africa, and (ii) a Mask R-CNN framework for the automated localisation, classification, counting, and tracking of red roman in unconstrained underwater environments. …”
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