Results 41 to 50 of about 1,320 (180)
Invariant Generalised Ridgelet-Fourier for shape-based image retrieval [PDF]
, 2010 A new shape descriptor called the Invariant Generalised Ridgelet-Fourier is defined for the application of Content-based Image Retrieval (CBIR). The proposed spectral-based method is invariant to rotation, scaling, and translation (RST) as well as able ...
Ahmad, Fatimah +3 more
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Orthonormal finite ridgelet transform for image compression [PDF]
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2000 A finite implementation of the ridgelet transform is presented. The transform is invertible, non-redundant and achieved via fast algorithms. Furthermore we show that this transform is orthogonal hence it allows one to use non-linear approximations for the representation of images. Numerical results on different test images are shown.
Minh N. Do, Martin Vetterli
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Recovering edges in ill-posed inverse problems: optimality of curvelet frames [PDF]
, 2002 We consider a model problem of recovering a function $f(x_1,x_2)$ from noisy Radon data. The function $f$ to be recovered is assumed smooth apart from a discontinuity along a $C^2$ curve, that is, an edge.
Candès, Emmanuel J., Donoho, David L.
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Analysis of the Spatial Distribution of Galaxies by Multiscale Methods
EURASIP Journal on Advances in Signal Processing, 2005 Galaxies are arranged in interconnected walls and filaments forming a cosmic web encompassing huge, nearly empty, regions between the structures. Many statistical methods have been proposed in the past in order to describe the galaxy distribution and ...
E. Saar +5 more
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Cybernetics and Information Technologies, 2020 Due to sparsity and multiresolution properties, Mutiscale transforms are gaining popularity in the field of medical image denoising. This paper empirically evaluates different Mutiscale transform approaches such as Wavelet, Bandelet, Ridgelet, Contourlet,
Nisha S. Shajun, Raja S. P.
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Ridgelets and the representation of mutilated Sobolev functions [PDF]
, 2001 We show that ridgelets, a system introduced in [E. J. Candes, Appl. Comput. Harmon. Anal., 6(1999), pp. 197–218], are optimal to represent smooth multivariate functions that may exhibit linear singularities.
Candès, Emmanuel J.
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International Journal of Biomedical Imaging, 2011 The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying region of interest (ROI) in medical images which are obtained from different medical scanners such as PET, CT, or MRI ...
Shadi AlZubi, Naveed Islam, Maysam Abbod
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Breast cancer detection using combined curvelet based enhancement and a novel segmentation methods
Biomedical Papers, 2015 Aim: This paper describes the digital implementation of a mathematical transform namely 2D Fast Discrete Curvelet Transform (FDCT) via UnequiSpaced Fast Fourier Transform (USFFT) in combination with the novel segmentation method for effective detection ...
Balasubramaniam Senthilkumar +1 more
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Combined effect of neolamarckia cadamba leaves and electroporation method on hela cell anti- proliferation process [PDF]
, 2019 This study suggests that natural sources may become an important tool in treating cancer. Neolamarckia cadamba (NC) leaves also well-known as “Anthocephalus Cadamba”, is a precious plant in Ayurvedic medicine.
Abd Rahman, Nur Adilah +6 more
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Ridgelet transform applied to motion compensated images [PDF]
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003 The wavelet transform is a powerful instrument in catching zero-dimensional singularities. Ridgelets are a powerful instrument in catching and representing monodimensional singularities in bidimensional space. The continuous ridgelet transform, defined by E.J. Candes and D.L. Donoho (see Phil. Trans. R. Soc. Lond.
Lorenzo Granai +2 more
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