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Your search keyword '"ROOT-mean-squares"' showing total 2 results
Start Over Descriptor "ROOT-mean-squares" Topic algorithms Publisher american institute of physics
2 results on '"ROOT-mean-squares"'

1. X-ray image contrast estimation and enhancement algorithms.

Author

Mamatov, Narzullo, Dadaxanov, Musoxon, Jalelova, Malika, and Samijonov, Boymirzo

Subjects
*X-ray imaging, *X-rays, *ROOT-mean-squares, *IMAGE analysis, *RADIOSCOPIC diagnosis, *ALGORITHMS
Abstract

In medicine, X-ray images are important, on the basis of which medical professionals can obtain necessary information about the internal structures of patients. The diagnosis is determined using the information that has been received. In some cases, it will not be possible to obtain information sufficient for diagnosis from X-ray image. For example, if the radiation is not delivered to the patient in sufficient quantity, the contrast of the medical X-ray image will not meet the requirement, which means that the analysis of the image will be complicated. This does not allow for making an accurate diagnosis. So, when fine-tuning the contrast of the X-ray image, it's important to guide the patient through the initial processing of the X-ray image, sparing them from undergoing a re-examination. The automation of this process requires the use of objective evaluation indicators. The primary objective of this research is to enhance the contrast of X-ray images through the utilization of an algorithm. Additionally, it aims to evaluate the resulting images using the widely recognized RMS (Root Mean Square) evaluation indicator. Furthermore, the research seeks to identify the most effective algorithm or sequence of algorithms based on this evaluation indicator. [ABSTRACT FROM AUTHOR]

Published
2024
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2. The optimal P3M algorithm for computing electrostatic energies in periodic systems.

Author

Ballenegger, V., Cerda, J. J., Lenz, O., and Holm, Ch.

Subjects
*ALGORITHMS, *ELECTROSTATICS, *ROOT-mean-squares, *CHEMISTRY, *PHYSICS
Abstract

We optimize Hockney and Eastwood’s particle-particle particle-mesh algorithm to achieve maximal accuracy in the electrostatic energies (instead of forces) in three-dimensional periodic charged systems. To this end we construct an optimal influence function that minimizes the root-mean-square (rms) errors of the energies. As a by-product we derive a new real-space cutoff correction term, give a transparent derivation of the systematic errors in terms of Madelung energies, and provide an accurate analytical estimate for the rms error of the energies. This error estimate is a useful indicator of the accuracy of the computed energies and allows an easy and precise determination of the optimal values of the various parameters in the algorithm (Ewald splitting parameter, mesh size, and charge assignment order). [ABSTRACT FROM AUTHOR]

Published
2008
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