Results 21 to 30 of about 5,665 (212)
International journal of electrical and electronics research, 2023 The detection of abnormal tumor region brain Magnetic Resonance Images (MRI) is complex task due to its similar structures between tumor and its surrounding regions. In this paper, Adaptive Neuro Fuzzy Inference System (ANFIS) classification method-based
R. Anitha +4 more
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Migration preconditioning with Curvelets [PDF]
SEG Technical Program Expanded Abstracts 2004, 2004 In this paper, the property of Curvelet transforms for preconditioning the migration and normal operators is investigated. These operators belong to the class of Fourier integral operators and pseudo-differential operators, respectively. The effect of this preconditioner is shown in term of improvement of sparsity, convergence rate, number of iteration
Moghaddam, Peyman P., Herrmann, Felix J.
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Chaos, Solitons & Fractals, 2020 Highlights • A new hybrid COVID-19 recognition model based on deep learning technique.• Model performance improvement with the help of chaotic optimization algorithm.• Diagnosis of COVID-19 cases by the rapid and high accuracy.• Examining the effect of ...
Aytaç Altan, S. Karasu
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Curvelet Transform Based on Edge Preserving Filter for Retinal Blood Vessel Segmentation
Computers Materials & Continua, 2022 Segmentation of vessel in retinal fundus images is a primary step for the clinical identification for specific eye diseases. Effective diagnosis of vascular pathologies from angiographic images is thus a vital aspect and generally depends on segmentation
S. Dash +5 more
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Image Variational Denoising Using Gradient Fidelity on Curvelet Shrinkage
EURASIP Journal on Advances in Signal Processing, 2010 A new variational image model is presented for image restoration using a combination of the curvelet shrinkage method and the total variation (TV) functional.
Liang Xiao +2 more
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Cartoon Approximation with $$\alpha $$ α -Curvelets [PDF]
Journal of Fourier Analysis and Applications, 2015 It is well-known that curvelets provide optimal approximations for so-called cartoon images which are defined as piecewise $C^2$-functions, separated by a $C^2$ singularity curve. In this paper, we consider the more general case of piecewise $C^\beta$-functions, separated by a $C^\beta$ singularity curve for $\beta \in (1,2]$.
Grohs, Philipp +3 more
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Wavelets, ridgelets and curvelets on the sphere [PDF]
Astronomy & Astrophysics, 2006 Accepted for publication in A&A.
Nguyen, Mai K. +3 more
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Engineering, Technology & Applied Science Research, 2022 Retinal vessel images give a wide range of the abnormal pixels of patients. Therefore, classifying the diseases depending on fundus images is a popular approach.
V. Tuyet, N. Bình, D. T. Tin
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Undergrowth Collagen Fibers Analysis by Fingerprint Enhancement Method. [PDF]
Biol CellCollagen fibers detected and analysed by the fingerprint enhancement algorithm. ABSTRACT Collagen is a key protein in mammals that maintains structural integrity within tissues. A failure in fibrillar collagen reorganization can induce cancer or fibrosis formation, such as in spinal cord injury (SCI), where the healing process after the initial trauma ...
Manesco C +6 more
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IEEE Signal Processing Magazine, 2010 Multiresolution methods are deeply related to image processing, biological and computer vision, and scientific computing. The curvelet transform is a multiscale directional transform that allows an almost optimal nonadaptive sparse representation of objects with edges.
Jianwei Ma, Gerlind Plonka
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