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 11 of 11 for “"Image Classifier"”.
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A New Breast Cancer Image Classifier Using Gaussian Mixture Model Based on Histogram and Enhanced Roughness Index
… is extremely important to perform breast tumor image classification. In this thesis, a new method based on Gaussian Mixture Model (GMM) to perform the breast tumor classification into two different classes (benign class and malignant class) was proposed. Also a new Enhance Roughness Index (ERI) …
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A Computer Vision and Generative AI Framework for Trend Extraction and Brand-Aligned Fashion Design
… techniques to identify trends from source images. It combines these trends with the aesthetics of a targeted brand and then utilises generative artificial intelligence to generate several trendy, brand-aligned design options. The framework has three components: an image classifier, a trend …
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Analysing the content of Web 2.0 documents by using a hybrid approach
… in the amount of multimedia content on the Web. Images are one of the most used media, shared across the network to mark user experience in daily life. Interactive applications have allowed users to participate in describing these images, usually in the form of free text, thus gradually enriching …
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Guided Interactive Machine Learning
… of two current areas of research: the Crayons image classifier system and active learning. Currently Crayons provides no guidance to the user in what pixels should be labeled or when the task is complete. This work focuses on two main areas: 1) active learning for user guidance, and 2) accuracy …
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Wavelet based similarity measurement algorithm for seafloor morphology
… rapid and robust methods of processing seafloor imagery. Given the existence of a large library of seafloor images, a fast automated image classifier algorithm is needed to determine changes in seabed morphology over time. The focus of this work is the development of a robust Similarity …
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Automatic interpretation of computed tomography (CT) images for hardwood log defect detection
This thesis describes the design of an image interpretation system for the automatic detection of internal hardwood log defects. The goal of the research is that such a system should not only be able to identify and locate internal defects of hardwood logs using computed tomography (CT) imagery, …
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Transfer learning algorithms for image classification
An ideal image classifier should be able to exploit complex high dimensional feature representations even when only a few labeled examples are available for training. To achieve this goal we develop transfer learning algorithms that: 1) Leverage unlabeled data annotated with meta-data and 2) …
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Natural Language Descriptions of Deep Visual Features
… maximizes pointwise mutual information with the image regions in which the neuron is active. MILAN produces fine-grained descriptions that capture categorical, relational, and logical structure in learned features. These descriptions obtain high agreement with human-generated feature descriptions …
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On Optimal Quantization and its Effect on Anomaly Detection and Image Classification
… such as stream processing as well as image classification. The first half of this thesis presents a system that can process and analyze streaming data and extract the time frames that contain potential events of interest or anomalies without requiring any prior domain knowledge. The …
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An apparatus enabling easier and more automated dietary pattern tracking
… of dietary patterns supported by automatic image recognition. Our goal was to provide an improved alternative to current mainstream methods of keeping dietary records such as written records for clinical studies, or text input based digital trackers such as MyFitnessPal. Both current methods …
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Visual saliency computation for image analysis
… can give clues to where people will look in images, what objects are visually prominent in a scene, etc. Such algorithms could be useful in a wide range of applications in computer vision and graphics. In this thesis, we study the following visual saliency computation problems. 1) Eye …