Results 251 to 260 of about 6,885 (296)

A new shape descriptor defined on the Radon transform

open access: yesComputer Vision and Image Understanding, 2006
International audienceThis paper presents a novel approach to identify complex shapes based on the Radon transform. We propose an adaptation of Radon transform called $\mathcal R$-transform which is invariant to common geometrical transformations ...
Laurent Wendling
exaly   +2 more sources

Radon Transform on the Torus

Mediterranean Journal of Mathematics, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abouelaz, Ahmed, Rouvière, François
openaire   +1 more source

The Exponential Radon Transform

SIAM Journal on Applied Mathematics, 1980
The exponential Radon transform, a generalization of the Radon transform, is defined and is studied as a mapping of function spaces. An inversion formula is derived. The exponential Radon transform is represented in terms of Fourier transforms of its domain and range, and this leads to a characterization of the range of the transform.The exponential ...
Tretiak, Oleh, Metz, Charles
openaire   +1 more source

An efflcient Radon transform

1988
A new algorithm is presented whereby the Radon transform may be computed in a time commensurate with real-time computer vision applications. The computation and storage requirments are optimized using the four-fold symmetry of the image plane and the properties of the transform.
Violet F. Leavers, Mark B. Sandler
openaire   +1 more source

The polynomial discrete Radon transform

Signal, Image and Video Processing, 2014
This paper presents a new approach called polynomial discrete Radon transform (PDRT), regarded as a generalization of the classical finite discrete Radon transform. Specifically, the PDRT transforms an image into Radon space by summing the pixels according to polynomial curves. The PDRT can be applied on square
Ines Elouedi   +3 more
openaire   +2 more sources

The Interior Radon Transform

SIAM Journal on Applied Mathematics, 1992
The interior Radon transform arises from a limited data problem in computerized tomography when only rays traveling through a specified region of interest are measured. This problem occurs due to technical restrictions of the sampling apparatus or in an endeavor to reduce the \(X\)-ray dose.
openaire   +2 more sources

On the Radon Transform and Linear Transformations of Images

Proceedings of the 2019 2nd International Conference on Digital Medicine and Image Processing, 2019
We present a novel original method for estimating and recovering a general geometric transformation which is applied to an image. Our main tool is the Radon Transform; we develop analysis to address the behavior of this transform under a Linear Transformation in terms of the singular value decomposition of the Transformation's matrix.
Fawaz Hjouj, Mohamed Soufiane Jouini
openaire   +1 more source

A Generalized Radon Transform on the Plane

Constructive Approximation, 2010
The authors define a new generalized Radon transform \(R_{\alpha,\beta}\) on the plane for functions even on each variable. Such \(R_{\alpha,\beta}\) has natural connections with the bivariate Hankel transform, the generalized biaxially symmetric potential operator \(\Delta_{\alpha\beta}\), and the Jacobi polynomial \(P^{(\beta, \alpha)}_k(t)\).
Li, Zhongkai, Song, Futao
openaire   +2 more sources

The fast discrete Radon transform

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992
An explicit relationship between the continuous and discrete time Radon transforms is derived. A generalized least-squares solution to the inversion problem is proposed, and a new inverse counterpart to the fast Radon transform (FRT) algorithm (IFRT) is derived.
Brian T. Kelley, Vijay K. Madisetti
openaire   +1 more source

The Radon Transform on Rn

1980
It was proved by J. Radon in 1917 that a differentiable function on R3 can be determined explicitly by means of its integrals over the planes in R3. Let J(ω, p) denote the integral of f over the hyperplane 〈x, ω〉 = p, ω denoting a unit vector and 〈,〉 the inner product.
openaire   +1 more source

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