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 14 of 14 for “"Adaptive Thresholding"”.
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Optimization Techniques for Multi-object Detection and Tracking on Live-cell Fluorescence Microscopy Images and Their Applications
… insufficient annotations, leading to reliance on adaptive thresholding. Current adaptive thresholding approaches have two significant limitations: Firstly, they cannot handle the heteroscedasticity of image data well and result in biased outputs. Secondly, they deal with frames of time-series …
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Drawing driver's attention to potentially dangerous objects
… situations. The object segment is denoised by adaptive thresholding, and the contrast, brightness and color of the segment are enhanced in order to make the object more noticeable. The contrast of the background is reduced to increase the effect of enhancement, and dynamic effects like changing …
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Comprehensive Investigation on Content-based Medical Image Retrieval using Radon Barcodes
… techniques such as histogram equalization and adaptive thresholding reduced the retrieval error of generated RBCs. We also introduce several novel barcode generation techniques such as Binary Coded Decimal Radon Barcodes (BCDRBC), Difference of Radon Projections Barcodes (DRPBC), and Difference …
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A study on image change detection methods for multiple images of the same scene acquired by a mobile camera.
… (1) the Sobel edge detector combined with an adaptive thresholding technique in extracting edges of fence wires, (2) an area-based measuring in separating small and big objects based on their average areas determined once in the calibration process and (3) the second hybrid decision-making …
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Text Localization for Unmanned Ground Vehicles
… complex background. The methods tested were adaptive thresholding, the stroke filter and the stroke width transform. A temporal tracking proof of concept was also tested. It tracked text through a series of frames in order to reduce false positives. Best results were obtained using the stroke …
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Condition based monitoring and protection in electrical distribution systems
… metering allows for new possibilities for adaptive fault protection. Adaptive thresholding of voltage magnitude, angle and harmonic content will be demonstrated for improving protection schemes currently used in ship electrical distribution systems.
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Optimization-Based Methods for Reconstruction and Structural Quantification of Neurons and Glia from Microscopic Images
… Both frameworks begin with statistics-driven adaptive thresholding to achieve accurate foreground detection in noisy data. Then, GOMS3D formulates an optimization problem to project centerlines detected in 2D to 3D lines, thereby compensating for anisotropy, while MMS3D employs a …
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Wavelet Thresholding for Non (Necessarily) Gaussian Noise
… is obtained and the performance of wavelet thresholding for <br>median filtered data is investigated. <br>The subject of chapter 5 is an extension of Stein's unbiased risk estimation <br>for general classes of infinitely divisible noise in the location model. <br>Stein's unbiased risk …
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The development of automatic and solar imaging techniques for the accurate detection, merging, verification and tracking of solar filaments
… detection and tracking method is presented. An adaptive thresholding technique is used in a segmentation phase to identify candidate filament pixels. This phase is followed by retrieving the actual filament area from a region grown filament by using statistical parameters and morphological …
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Automated Segmentation and Analysis of High-Speed Video Phase-Detection Data for Boiling Heat Transfer Characterization Using U-Net Convolutional Neural Networks and Uncertainty Quantification
… is evaluated and compared with traditional adaptive thresholding techniques. The results demonstrate the superior accuracy and robustness of the U-Net models in identifying and delineating bubbles compared to manual segmentation, particularly in scenarios involving smaller bubbles and …
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Advanced methods for the analysis of multispectral multitemporal satellite images
… aim, a method based on iterative clustering and adaptive thresholding is imple-mented. Comprehensive qualitative and quantitative experimental results, with real VHR multisen-sor datasets, confirm the effectiveness of the proposed approaches and led to the development of 3 contributions that …
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Agricultural crop residue cover estimation using image analysis and machine learning
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01
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Fast Registration of Tabular Document Images Using the Fourier-Mellin Transform
… through the introduction of a novel, locally adaptive foreground-background segmentation algorithm, based on the median filter. The background removal algorithm is also demonstrated as a useful tool to remove ambient signal noise during correlation. Common problems with FMIR are eliminated by …