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 111 for “"image features"”.
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Image Features for Tuberculosis Classification in Digital Chest Radiographs
… to automate the diagnosis of TB from CXR images. As the dimensionality of a high-resolution CXR image is very large, image features are used to describe the CXR image in a lower dimension while preserving the elements in the CXR necessary for the detection of TB. In this thesis, I present …
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Utilizing Computed to mography Image Features to Advance Prediction of Radiation Pneumonitis
… models for RP by considering CT-based image features extracted from the normal lung volume.</p> <p>To accomplish this, a software framework was first built to facilitate CT image feature extraction using multiple image analysis methods. Subsequently, we applied the implemented methods …
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The role of idealised image features in determining post-exposure body image and social comparisons
This research examined the role that idealised image characteristics have in determining post-exposure body image and amount of self-reported social comparisons. This was tested by exposing female undergraduate students to media-portrayed idealised images that varied in their level of relevance, …
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Investigation of Quatitative Image Features From Pretreatment Ct and Fdg-Pet Scans In Stage Iii Nsclc Patients Undergoing Defintive Radiation Therapy
… of this work was to determine if quantitative image features (QIFs) extracted from computed tomography (CT) and flourodeoxyglucose (FDG) positron emission tomography (PET) could provide prognostic information to improve outcome models. Our goal for this work was to determine if it may one day …
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Radiomics of Nsclc: Quantitative Ct Image Feature Characterization and Tumor Shrinkage Prediction
… extraction and analysis of quantitative image features. For non-small cell lung cancer (NSCLC) patients, radiomics can be applied to standard of care computed tomography (CT) images to improve tumor diagnosis, staging, and response assessment.</p> <p>The first objective of this work was …
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Sparse and Redundant Image Representations Using Adaptive Dictionaries in Digital Image Denoising
Digital image denoising is a widely know problem in image processing. In this work, we focus on removing additive white Gaussian noise from a given image. We use a denoising method that was extended from the Sparseland model. This method builds sparse image patch representations using redundant …
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Identifying Image Derived Features of Radiation Therapy Response: Tumor and Normal Tissue
… tumor location, size, and metabolism, these images can also be further analyzed to extract quantitative imaging features which can provide additional information for tumor characterization that preserves the spatial and temporal heterogeneity of the tumor. In this work, texture analysis will …
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A Malware Classification Method Based on the Multi-Layer Feature Fusion of Malware Image Representations and Opcode Markov Images
… classification method based on the fusion of image representation and opcode features. By integrating the features of image-based malware representation and opcode Markov image, the classification performance is enhanced. Specifically, our model introduces two feature fusion modules: a …
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Spatial Transcriptomics Analysis Reveals Transcriptomic and Cellular Topology Associations in Breast and Prostate Cancers
… women and men respectively. Gene expression and image features are independently prognostic of patient survival. However, it is sometimes difficult to discern how the molecular profile, e.g., gene expression, of given cells relate to their spatial layout, i.e., topology, in the tumor …
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Gait analysis for classification
… gait representation is based on simple localized image features such as moments extracted from orthogonal view video silhouettes of human walking motion. A suite of time-integration methods, spanning a range of coarseness of time aggregation and modeling of feature distributions, are applied to …
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Geometric Principles of Multiple Visual Sensors
… rank conditions on the multiple-view matrices of image features. This approach can be applied to characterize the algebraic conditions governing the multiple views of any type of image features and any kind of incidence relations. A set of linear iterative 3-D reconstruction algorithms have been …
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A Common Representation Format for Multimedia Documents
… of multiple file format combinations, such as image and text, image and sound, or image, text and sound. The type of multimedia document determines the form of analysis for knowledge architecture design and retrieval methods. Over the last few decades, theories of text analysis have been …
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A feature-based fingerprinting scheme robust to desynchronization
… media copyrights. However, current schemes for image and video fingerprinting lack robustness against geometric attacks. We propose a novel semi-blind fingerprinting scheme that can cope with such attacks. The scheme improves a state-of-the-art high-rate fingerprinting code that can resist tens …
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Vector Field Manipulations in Three-Dimensional Time-Varying Flow Data Compression and Image/video Editing
We propose an image editing system that decouples feature position from pixel color generation to achieve a morph that preserves texture detail and orientation near the dragged silhouette, synthesized using the original image as an anisotropic texture. We introduce a new distortion to patch-based …
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Large databases of real and synthetic images for feature evaluation and prediction
Image features are widely used in computer vision applications from stereo matching to panorama stitching to object and scene recognition. They exploit image regularities to capture structure in images both locally, using a patch around an interest point, and globally, over the entire image. Image …
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Multimodal data analysis applied to a medical setting
… been studied using genetic data, or images alone. To understand the biology of such diseases, joint analysis of multiple data modalities could provide interesting insights. We propose the use of canonical correlation analysis (CCA) as a preliminary discovery tool for identifying …
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Compressive image feature extraction by means of folding
… process we term folding for the purposes of image feature extraction. We seek to discover whether image features are preserved under this process and how to efficiently extract them. The application is in size weight and power constrained imaging scenarios where an efficient implementation of …
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Statistical Image Analysis for Image Evolution
… focused on using genetic programming to evolve images based on lightweight features extracted from a given target image. The main motivation of this thesis is research by Lombardi et al. in which an image retrieval system is developed based on lightweight statistical features of images for …
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Development and Evaluation of Approaches for Quantitative Optical Molecular Imaging of Neoplasia
… A classification algorithm using quantitative image features resulted in an area under the curve (AUC) of 0.83, though the main advantage of this technique may be to understand spatial heterogeneity of biomarker expression and how this correlates with disease. The next approach focuses on …
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Structure adaptive stylization of images and video
… driven by the goal to create realistic synthetic imagery. By contrast, non-photorealistic computer graphics, established as its own branch of computer graphics in the early 1990s, is mainly motivated by concepts and principles found in traditional art forms, such as painting, illustration, and …
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