Приклади вживання Radon transform Англійська мовою та їх переклад на Українською
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Radon transform.
This fact can be used to compute both the Radon transform and its inverse.
The Radon transform in n dimensions can be inverted by the formula[11].
Concretely, for the two-dimensional Radon transform, the dual transform is given by.
The Radon transform is closely related to the Fourier transform. .
Explicit and computationally efficient inversion formulas for the Radon transform and its dual are available.
The dual Radon transform is a kind of adjoint to the Radon transform.
It follows that the quantities(α, s)can be considered as coordinates on the space of all lines in R2, and the Radon transform can be expressed in these coordinates by.
The complex analog of the Radon transform is known as the Penrose transform. .
Radon transform of the indicator function of two squares shown in the image below.
Beginning with a function g on the space Σn, the dual Radon transform is the function R∗ g{\displaystyle{\mathcal{R g} on Rn defined by.
The Radon transform and its dual are intertwining operators for these two differential operators in the sense that[4].
If a function f{\displaystyle f} represents an unknown density,then the Radon transform represents the projection data obtained as the output of a tomographic scan.
The Radon transform, Rƒ, is a function defined on the space of straight lines L in R2 by the line integral along each such line as.
A long time ago wewere looking for a certain type of transform- the radon transform- and it was a great way to detect microcalcification when screening for breast cancer and mammograms.
The Radon transform is widely applicable to tomography, the creation of an image from the projection data associated with cross-sectional scans of an object.
In conjunction with the image obtained by the camera femtosecond strip,we can use the so-called Radon transform to get high-quality images while recording ten trillion frames per second”.
Then the Brylinksi- Radon transform is the functor between appropriate derived categories of étale sheaves.
In the 2D case, the most commonly usedanalytical formula to recover f{\displaystyle f} from its Radon transform is the Filtered Backprojection Formula or Radon Inversion Formula:.
In algebraic geometry, a Radon transform(also known as the Brylinski- Radon transform) is constructed as follows.
The Radon transform is useful in computed axial tomography(CAT scan), barcode scanners, electron microscopy of macromolecular assemblies like viruses and protein complexes, reflection seismology and in the solution of hyperbolic partial differential equations.
More generally, in the n-dimensional Euclidean space Rn, the Radon transform of a function ƒ satisfying the regularity conditions is a function Rƒ on the space Σn of all hyperplanes in Rn.
Hence the inverse of the Radon transform can be used to reconstruct the original density from the projection data, and thus it forms the mathematical underpinning for tomographic reconstruction, also known as iterative reconstruction.
Long ago we werelooking at a particular type of transform called a radon transform that actually turned out to be a really good way of detecting microcalcifications in breast cancer screening and mammograms.
In mathematics, the Radon transform is the integral transform which takes a function f defined on the plane to a function Rf defined on the(two-dimensional) space of lines in the plane, whose value at a particular line is equal to the line integral of the function over that line.
It is also possible to generalize the Radon transform still further by integrating instead over k-dimensional affine subspaces of Rn.
Radon further included formulas for the transform in three dimensions, in which the integral is taken over planes(integrating over lines is known as the X-ray transform). .
The transform was introduced in 1917 by Johann Radon,[1] who also provided a formula for the inverse transform.