National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Numerical methods for missing image processing data reconstruction
Bah, Ebrima M. ; Procházková, Jana (referee) ; Hnízdil, Milan (advisor)
The Diploma thesis deals with reconstruction of Missing data of an Image. It is done by the use of appropriate Mathematical theory and numerical algorithm to reconstruct missing information. The result of this implementation is the reconstruction of missing image information. The thesis also compares different numerical methods, and see which one of them perform best in terms of efficiency and accuracy of the given problem, hence it is used for the reconstruction of missing data.
Numerical methods for missing image processing data reconstruction
Bah, Ebrima M. ; Procházková, Jana (referee) ; Hnízdil, Milan (advisor)
The Diploma thesis deals with reconstruction of Missing data of an Image. It is done by the use of appropriate Mathematical theory and numerical algorithm to reconstruct missing information. The result of this implementation is the reconstruction of missing image information. The thesis also compares different numerical methods, and see which one of them perform best in terms of efficiency and accuracy of the given problem, hence it is used for the reconstruction of missing data.
DEPFET - Semiconductor Detectors on Japan Project Belle II
Nečadová, Alžběta ; Kodyš, Peter (advisor) ; Doležal, Zdeněk (referee)
This work deals with accuracy of silicon detectors, especially pixel detector DEPFET. Prediction of particle's in-detector position measurement errors was determined from simulated data and dependence of these errors on several parameters was analysed-some of the parameters relating to the detector (e.g. pixel size) and another relating to the particle (e.g. its energy). Basics about principle of silicon detectors, their applications and accuracy, experiment Belle and Belle II in KEK (The High Energy Accelerator Research Organization) and also statistic method as ANOVA, regression trees, division by probability (using entropy) are summarized here. Finally, original processing of simulated data (using regression trees) and resulting error predictions are presented.

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