Open AccessStatistical image analysis for information system
Author(s) -
Andrii Riazantsev,
Anna Khoroshun,
О. І. Riazantsev
Publication year - 2019
Publication title -
vìsnik shìdnoukraïnsʹkogo nacìonalʹnogo unìversitetu ìmenì volodimira dalâ
Language(s) - English
Resource type - Journals
eISSN - 2664-6498
pISSN - 1998-7927
DOI - 10.33216/1998-7927-2019-253-5-84-86
Subject(s) - standard deviation , intensity (physics) , quantization (signal processing) , mathematics , statistical parameter , mode (computer interface) , statistical analysis , mathematical analysis , geometry , algorithm , statistics , optics , physics , computer science , operating system
The surface Kirchhoff integral is numerically calculated by the fourth-order Newton – Cotes method with high accuracy. The intensity is normalized. Implemented quantization of the signal with a unit step for different distances of observation is carried out. The cross section of the central topological object intensity and its characteristics are shown. Variation curves and cumulates are constructed for intensity distributions at different observation distances. The basic statistical parameters of distributions are determined, such as, the mode, the mean, the median and the standard deviation.