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 69 for “"Feature Detection"”.
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Feature detection in grayscale aerial images
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1999.
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Image enhancement techniques applied to solar feature detection
… automatic image enhancement techniques for solar feature detection. The new method allows for detection and tracking of the evolution of filaments in solar images. Series of H-alpha full-disk images are taken in regular time intervals to observe the changes of the solar disk features. In each …
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Real-time Feature Detection in Mass Spectrometer Data
… using a parallel system. The focus is on the feature detection part of the mass spectrometer processing pipeline and how this could become part of an architected cloud-based or on premise solution. The experimentation involves using the MapReduce framework to enable running the feature …
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A Comparative Study of Feature Detection Methods for AUV Localization
… localizing the vehicle within the map. In SLAM, feature detection is used in landmark extraction and data association by examining each pixel and differentiating landmarks pixels from those of the background. Previous research on the performance of different feature detection methods have been …
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Automatic solar feature detection using image processing and pattern recognition techniques
… are applied to this system. For automatic flare detection, the advanced pattern recognition techniques such as Multi-Layer Perceptron (MLP), Radial Basis Function (RBF), and Support Vector Machine (SVM) are used. By tracking the entire process of flares, the motion properties of two-ribbon flares …
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Automated nasal feature detection for the lexical access from features project
… from the speech waveform in a distinctive feature-based speech recognition system. The study used a VCV database of over 450 utterances recorded from three speakers, two male and one female. The first stage of processing for each speech waveform included automated 'pivot' estimation using …
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Efficient feature detection using OBAloG: optimized box approximation of Laplacian of Gaussian
… the algorithm performs better than leading feature tracking algorithms including SIFT and SURF in terms of speed and accuracy.
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Feature detection in ultrasound images for computer aided diagnosis of Hodgkin's Lymphoma
… identified frames, and geometrical and textural features extracted, to develop an automated abnormality characterisation framework. A total of 36 features were extracted and used to characterise each abnormality. Thereafter, an automated algorithm was used to characterise and classify Hodgkin's …
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Automatic UAV image registration using feature detection and matching with satellite imagery
… on consumer-grade UAVs, and uses automatic feature detection and matching to register the imagery. This implementation provides a proof of concept, which was found to succeed on roughly 65% of our images.
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Multitaper Methods for Cyclostationary Feature Detection in Time Series Data: Application to ACE Interplanetary Magnetic Field Data
In this thesis, a deeper understanding of the theory of cyclostationary processes is sought. Conventional spectrum estimation techniques assume that the data is a realization of a stationary process. If the data is cyclostationary, standard methodology, which assumes stationarity and so …
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Sinusoids, noise and transients: spectral analysis, feature detection and real-time transformations of audio signals for musical applications
… process is generally musical note onset detection. Novel approaches to real-time note onset detection were developed as part of this research and are included in the Modal open-source software library. Modal also includes a set of reference samples that were used to evaluate the …
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Fast and Accurate Image Feature Detection for On-The-Go Field Monitoring Through Precision Agriculture. Computer Predictive Modelling for Farm Image Detection and Classification with Convolution Neural Network (CNN)
… Neural Networks (CNN) was used as off the shelf feature extractor to train images to develop an end-to-end feature detection and multiclass classification system for plant overall health’s conditions. Whereby previous works have concentrated on using CNN as off the shelf feature extractor and …
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Automated system design for the efficient processing of solar satellite images. Developing novel techniques and software platform for the robust feature detection and the creation of 3D anaglyphs and super-resolution images for solar satellite images.
The Sun is of fundamental importance to life on earth and is studied by scientists from many disciplines. It exhibits phenomena on a wide range of observable scales, timescales and wavelengths and due to technological developments there is a continuing increase in the rate at which solar data is …
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Automated system design for the efficient processing of solar satellite images. Developing novel techniques and software platform for the robust feature detection and the creation of 3D anaglyphs and super-resolution images for solar satellite images.
The Sun is of fundamental importance to life on earth and is studied by scientists from many disciplines. It exhibits phenomena on a wide range of observable scales, timescales and wavelengths and due to technological developments there is a continuing increase in the rate at which solar data is …
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An Approach to Automatic Selection of the Optimal Local Feature Detector
Feature matching techniques have significantly contributed in making vision applications more reliable by solving the image correspondence problem. The feature matching process requires an effective feature detection stage capable of providing high quality interest points. The effort of the …
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Artificial Intelligence Techniques for Driver Fatigue Detection
… In 2018 I published a proposal for a blink rate detection system using Haar cascade feature detection. However, due to the advantages of Neural Networks, the research focused on providing a unique solution in that field. An in-depth look at how Neural Networks function, specifically Convolutional …
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Advanced image processing methods for 3D high-throughput microscopy
… these challenges by developing efficient feature detection and 3D reconstruction methods, two key aspects in the image processing. For high-throughput feature detection, I developed a pipeline together with a new spot detection algorithm for large-scale 3D imaging of cells and tissues. It …
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