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 20 for “"image preprocessing"”.
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Development of an Automated Coin Grading System: Integrating Image Preprocessing, Feature Extraction, and ML Modeling
… an automated coin grading system that uses image preprocessing, feature extraction, and advanced machine learning techniques to predict the grade across different coin types. Our system employs synthetic reference masks to identify "expected" regions, like the contours of reliefs, and …
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UNMANNED AERIAL SYSTEMS (UAS) IMAGE PREPROCESSING TO REDUCE ARTIFACTS AND IMPROVE GEOMETRIC REGISTRATION WHEN GENERATING ORTHOPHOTO MOSAICS AND 3D MODELS
<p>Drones can now be used to quickly collect imagery data in a highly automated way; however, individual images must be combined to form an orthomosaic or 3-Dimentional (3D) model using photogrammetry software. Currently, the existing software may generate erroneous output in the form of artifacts …
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Maltese text recognition tool for those with disability to access text
… scanners. This, though, brings about certain image deformities, such as local shadows, rotation of the text lines, and perspective warping. Therefore, it was necessary to also insert an additional image preprocessing algorithm within the pipeline mentioned above to ensure that the image being …
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Framework for Automatic Identification of Paper Watermarks with Chain Codes
… of the classification categories are based on image similarity and are searchable based on a set of defined contextual descriptors. The novel method presented here is for automatic classification, identification (matching) and retrieval of watermark images based on chain code descriptors (CC). …
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Analysis of Flow and Transport in Refractive Index Matched Porous Media
… analysis specifically adapted algorithms for image preprocessing have been developed and a method for local parameter estimation has been adapted and significantly enhanced for the present application. The performed measurements represent the first simultaneous estimation of the longitudinal …
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AI-ML Powered Pig Behavior Classification and Body Weight Prediction
… that utilizes deep learning techniques on depth images for weight prediction. Through a custom image preprocessing pipeline, we train DL models to extract meaningful information from depth images for weight prediction. Our findings show that XceptionNet gives promising results, with a mean …
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Machine learning methodologies for high dimensional biomedical & bioinformatics applications
… novels methods in matrix factorization, image registration, and deep learning are proposed. For the first project on text mining, we propose the semi-orthogonal non-negative matrix factorization as a topic model to investigate the potential of using triage notes to classify patient …
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An automated vision system for detection and counting of uneaten food pellets in a fish sea cage
… and counting of food pellets from recorded video image sequences, which could be used to determine actual feeding rates in a sea cage. The number of food pellets eaten over time is determined by counting the number of pellets not eaten. The method involves counting the number of pellets of a known …
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Improved geo-referencing and prescreening for detection of buried explosive hazards in forward-looking infrared imagery
… location in physical space - of infrared imagery collected from a single camera on a moving platform under the assumption of a piecewise planar world is proposed and evaluated. The purpose is to develop an algorithm with less computational complexity than an arbitrary structure from motion …
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Design of an endoscopic 3-D Particle-Tracking Velocimetry system and its application in flow measurements within a gravel layer
… used in a stereoscopic arrangement to acquire image sequences of the flow field within a single gravel pore. The images are processed by a 3-D Particle-Tracking Velocimetry (3-D PTV) algorithm, which yields the three-dimensional reconstruction of Lagrangian particle trajectories. The underlying …
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Text-image Restoration And Text Alignment For Multi-engine Optical Character Recognition Systems
… This thesis will focus on morphological image preprocessing and morphological text restoration that goes to OCR engines. This method is similar to the one used in restoration partial finger prints. Series of morphological dilating and eroding filters of various mask shapes and sizes were …
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MRI brain tumour classification using image processing and data mining
… brain tumour diagnosis system based on MR images is proposed. The first part is image preprocessing applied to original MR images from the hospital. Non-uniformed intensity scales of MR images are standardized relying on their statistic characteristics without requiring prior or post …
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Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms
… last couple of decades. Changes in illumination, image resolutions, the variation of light and posture of the face are still significant problems in face recognition. This research presents an improved real-time face recognition system at low-resolution of 15 pixels (px) with the pose, emotion, …
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Ground-Based Hyperspectral Imaging and Data Analysis for Near-Vertical Outcrop Surfaces
… with an emphasis on ground-based hyperspectral imagery for spectral analysis of near-vertical outcrops complementing the conventional field methods. Ground-based hyperspectral data were collected using a field-deployable imaging system which employs two SpecIm hyperspectral sensors operating in …
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Detecting and Evaluating Therapy Induced Changes In Radiomics Features Measured From Non-Small Cell Lung Cancer to Predict Patient Outcomes
… weekly 4-dimensional computed tomography (4DCT) images of non-small cell lung cancers (NSCLC) change during treatment and if those changes are prognostic for patient outcomes or dependent on treatment modality. Radiomics features are quantitative metrics designed to evaluate tumor heterogeneity …
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Domain and User-Centered Machine Learning for Medical Image Analysis
… such as analyzing and interpreting medical images, to lighten the burden on radiologists and avoid a further increase in healthcare expenditure. Machine learning (ML), including deep learning (DL) offer a potential solution as these algorithms can learn to automatically recognize subtle …
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RADIOMICS FOR OUTCOME PREDICTION IN EARLY-STAGE NON-SMALL CELL LUNG CANCER PATIENTS TREATED WITH STEREOTACTIC BODY RADIOTHERAPY (SBRT): METHODOLOGICAL CHALLENGES AND CLINICAL APPLICATIONS
… from different sources, including medical images, histopathological samples, and blood. Of these, quantitative imaging-derived biomarkers represent an appealing and actionable source of information in addition to classical qualitative and semi-quantitative parameters used in clinical …
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Digital Image Processing via Combination of Low-Level and High-Level Approaches.
With the growth of computer power, Digital Image Processing plays a more and more important role in the modern world, including the field of industry, medical, communications, spaceflight technology etc. There is no clear definition how to divide the digital image processing, but normally, digital …
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Human pose and action recognition using negative space analysis
… approach to extracting pose information from image sequences. Current state of the art techniques focus exclusively on the image space occupied by the body for pose and action recognition. The method proposed here, however, focuses on the negative spaces: the areas surrounding the individual. …
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Modellbasierte posen- und mimikinvariante Gesichtserkennung
… a sophisticated pre-processing of general facial images is introduced which is capable of transforming a general facial image into a norm-face image using a model-based normalization approach. For generating the norm-face image the size and the position of the face is determined using an …