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 “"image segmentation algorithm"”.
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Development of image processing algorithms for automatic segmentation and selection of swine postural behaviors used in an interactive environmental control
… environmental control. The challenges from image segmentation and image selection of swine postural behavior for this control scheme require the study reported in this thesis. Image segmentation algorithm based on multithresholding was employed with the assistance of background reference …
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Image segmentation in the wavelet domain using N-cut framework
We introduce a wavelet domain image segmentation algorithm based on Normalized Cut (NCut) framework in this thesis. By employing the NCut algorithm we solve the perceptual grouping problem of image segmentation which aims at the extraction of the global impression of an image. We capitalize on the …
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Learning static object segmentation from motion segmentation
This thesis describes the SANE (Segmentation According to Natural Examples) algorithm for learning to segment objects in static images from video data. SANE uses background subtraction to find the segmentation of moving objects in videos. This provides object segmentation information for each video …
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Computer-aided tongue image diagnosis and analysis
This work focuses on computer-aided tongue image analysis, specifically, as it relates to Traditional Chinese Medicine (TCM). Computerized tongue diagnosis aid medical practitioners capture quantitative features to improve reliability and consistence of diagnosis. A total computer-aided tongue …
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Modeling Objects Using Interest Points, Edges, and Regions
… explores the application of different low level image features for the task of object category recognition and segmentation. In particular, it proposes novel fast and efficient models to represent object categories using interest points, edges, and regions. For interest points, a part based …
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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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Integrating Digital Aerial Photography and Lidar-Derived Information For Object-Based Coastal Tidal Marsh Classification Using Tree-Based Ensemble Algorithms
… near Bluffton, South Carolina. An object-based image analysis (OBIA) approach was adopted for mapping the following detailed tidal marsh classes: tall creekbank spartina alterniflora, intermediate spartina alterniflora, exposed mudflats, salicornia/short spartina and juncus roemerianus. A …
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A support vector machine embedded weed identification system
… in this research. The system incorporated a new image segmentation algorithm, termed the ‘Pixelwise method’ to binarize the color weed images for subsequent image processing and feature extraction procedures. Subsequently, a Support Vector Machine (SVM) based classifier was constructed to …
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Biometric Person Identification Using Near-infrared Hand-dorsa Vein Images
… system based on near-infrared hand-dorsa vein images. Firstly, the design and realisation of an optimised vein image capture device is presented. In order to maximise the quality of the captured images with relatively low cost, the infrared illumination and imaging theory are discussed. Then a …
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Advanced Methods for the Analysis of Radar Sounder Data Acquired at the Ice Sheets
… system combined with the output of an automatic image segmentation algorithm. The third contribution presents an automatic technique for the local 3D reconstruction of the ice sheet. It is based on the use of RS and altimeter (ALT) data, and relies on the use of a geostatistical interpolation …
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Advanced image analysis and techniques for degradation characterization of aggregates
… size properties. The recent advances in digital image acquisition and processing techniques have the potential to be used for objective and accurate measurement of aggregate particle size and shape properties in a rapid, reliable and automated fashion both in the laboratory and in the field. The …
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A Machine Learning and Computer Assisted Methodology for Diagnosing Chronic Lower Back Pain on Lumbar Spine Magnetic Resonance Images
… observation and analysis of the lumbar spine MRI images by radiologists and clinicians and this process could take up much of their time and effort. This, therefore, rationalizes the need for a new method to increase the efficiency and effectiveness of the imaging diagnostic process. This thesis …
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Generation and analysis of segmentation trees for natural images
… use of the structure and hierarchy present in images. We develop a new low-level, multiscale, hierarchical image segmentation algorithm designed to detect image regions regardless of their shapes, sizes, and levels of interior homogeneity. We model a region as a connected set of pixels that is …
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Application of unmanned aerial systems and deep learning in high-throughput plant phenotyping
… data for high-throughput plant phenotyping. UAS image-based machine learning algorithms have been applied in plant phenotyping. However, only limited studies have evaluated the performance of using deep learning and UAS imaging in cotton or plant phenotyping for breeding. Therefore, the goal of …