Results 11 to 20 of about 1,413 (221)

On the algorithmic inversion of the discrete Radon transform

open access: yesTheoretical Computer Science, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peter Gritzmann, Sven de Vries
core   +4 more sources

Some links between continuous and discrete Radon transform [PDF]

open access: yesSPIE Proceedings, 2004
The Filtered BackProjection is still questionable since many discrete versions have been derived from the continuous Radon formalism. From a continuous point of view, a previous work has made a link between continuous and discrete FBP versions denoted as Spline 0-FBP model leading to a regularization of the infinite Ramp filter by the Fourier transform
Myriam C. J. Servieres   +3 more
openaire   +3 more sources

Tomographic Reconstruction: General Approach to Fast Back-Projection Algorithms

open access: yesMathematics, 2023
Addressing contemporary challenges in computed tomography (CT) demands precise and efficient reconstruction. This necessitates the optimization of CT methods, particularly by improving the algorithmic efficiency of the most computationally demanding ...
Dmitry Polevoy   +6 more
doaj   +1 more source

Analysis of Radon Measurements in Relation to Daily Seismic Activity Rates in the Vrancea Region, Romania

open access: yesSensors, 2022
Many previous research studies have shown how local and even regional earthquakes can significantly affect the release of radon in the soil. The aim of this work is to investigate the relationship between radon measurements and the daily seismic activity
Juan José Galiana-Merino   +5 more
doaj   +1 more source

On a Fast Hough/Radon Transform as a Compact Summation Scheme over Digital Straight Line Segments

open access: yesMathematics, 2023
The Hough transform, interpreted as the discretization of the Radon transform, is a widely used tool in image processing and machine vision. The primary way to speed it up is to employ the Brady–Yong algorithm.
Dmitry Nikolaev   +5 more
doaj   +1 more source

Zero-Watermarking Algorithm with Strong Robustness Based on Low-Frequency Singular Mean Value [PDF]

open access: yesJisuanji gongcheng, 2019
To enhance the robustness as well as the transparency of the watermarking algorithm while keeping the false alarm rate at a low level,this paper proposes a zero-watermarking algorithm based on low-frequency singular mean value.The algorithm acquires ...
QI Xiangming, ZHANG Jing, TAN Xinqi
doaj   +1 more source

Design and Comparison of Image Hashing Methods: A Case Study on Cork Stopper Unique Identification

open access: yesJournal of Imaging, 2021
Cork stoppers were shown to have unique characteristics that allow their use for authentication purposes in an anti-counterfeiting effort. This authentication process relies on the comparison between a user’s cork image and all registered cork images in ...
Ricardo Fitas   +3 more
doaj   +1 more source

Radon Transforms in Hyperbolic Spaces and Their Discrete Counterparts [PDF]

open access: yesComplex Analysis and Operator Theory, 2020
AbstractIn the hyperbolic disc (or more generally in real hyperbolic spaces) we consider the horospherical Radon transform R and the geodesic Radon transform X. Composition with their respective dual operators yields two convolution operators on the disc (with respect to the hyperbolic measure).
Enrico Casadio Tarabusi   +1 more
openaire   +1 more source

CenterNet-SPP based on multi-feature fusion for basketball posture recognition

open access: yesEAI Endorsed Transactions on Scalable Information Systems, 2022
This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173788. Aiming at the problem that the existing posture recognition algorithms can not fully reflect the dynamic characteristics of ...
Zhouxiang Jin
doaj   +1 more source

Varied Image Data Augmentation Methods for Building Ensemble

open access: yesIEEE Access, 2023
Convolutional Neural Networks (CNNs) are used in many domains but the requirement of large datasets for robust training sessions and no overfitting makes them hard to apply in medical fields and similar fields.
Riccardo Bravin   +4 more
doaj   +1 more source

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