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 8 of 8 for “"Curvelet transform"”.
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Sampling and reconstruction of seismic wavefields in the curvelet domain
… artifacts. We present a new non-parametric transform-based reconstruction method that exploits the compression of seismic data b the recently developed curvelet transform. The elements of this transform, called curvelets, are multi-dimensional, multi-scale, and multi-directional. They …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques
… local feature extraction approach, termed as the Curvelet-Fractal approach, which based on merging the advantages of the Curvelet transform with Fractal dimension. Secondly, a novel framework based on merging the advantages of the local handcrafted feature descriptors with the deep learning …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques.
… local feature extraction approach, termed as the Curvelet-Fractal approach, which based on merging the advantages of the Curvelet transform with Fractal dimension. Secondly, a novel framework based on merging the advantages of the local handcrafted feature descriptors with the deep learning …
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Leveraging Spectra to Improve the Resolution and Usability of Mid-Infrared Biomedical Microscopy: A Case Study in Bone Marrow Grading
… by designing an image-fusion method based on the curvelet transform. Finally, I demonstrate the clinical viability of IR imaging for bone marrow grading. Through this research, I propose a roadmap and a set of requirements for efficient translation of infrared spectroscopic imaging into a clinical …
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3D multiresolution statistical approaches for accelerated medical image and volume segmentation
… using a modified multi-resolution analysis transforms such as ridgelet and curvelet transforms. The second implemented approach in this thesis is the use of statistical modeling in medical image segmentation; Hidden Markov models have been enhanced here to segment medical slices …
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Information selection and fusion in vision systems
… for the first time the potential of the curvelet transform for image fusion for depth-of-field extension, allowing us to combine the advantages of multi-resolution image analysis for image fusion with increased directional sensitivity. As a result, the proposed technique clearly …
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Probing the Mantle Transition Zone beneath the Central Pacific Region Using PP Precursors
… at temperatures of 1,200-1,600 ºC. With the curvelet transform, an array processing technique, we improve the signal-to-noise ratio of PP precursors by suppressing the energy from interfering phases for images from both observations and synthetic waveforms and reveal the precursors over a …
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Medical Image Registration Using Artificial Neural Network
<p>Image registration is the transformation of different sets of images into one coordinate system in order to align and overlay multiple images. Image registration is used in many fields such as medical imaging, remote sensing, and computer vision. It is very important in medical research, where …