Radon Transform

Unveiling Hidden Patterns in Visual Data

Fouad Sabry

EPUB
ca. 4,99
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

One Billion Knowledgeable img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Informatik, EDV

Beschreibung

What is Radon Transform


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. The transform was introduced in 1917 by Johann Radon, who also provided a formula for the inverse transform. Radon further included formulas for the transform in three dimensions, in which the integral is taken over planes. It was later generalized to higher-dimensional Euclidean spaces and more broadly in the context of integral geometry. The complex analogue of the Radon transform is known as the Penrose transform. 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.


How you will benefit


(I) Insights, and validations about the following topics:


Chapter 1: Radon transform


Chapter 2: Fourier transform


Chapter 3: Bessel function


Chapter 4: Convolution theorem


Chapter 5: Discrete Fourier transform


Chapter 6: Fourier series


Chapter 7: Integration by parts


Chapter 8: Fractional Fourier transform


Chapter 9: Mellin transform


Chapter 10: Poisson kernel


(II) Answering the public top questions about radon transform.


(III) Real world examples for the usage of radon transform in many fields.


Who this book is for


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Radon Transform.

Kundenbewertungen

Schlagwörter

Integration by parts, Discrete Fourier transform, Fourier transform, Fourier series, Radon transform, Convolution theorem, Bessel function