Selaus avainsanan mukaan kokoelmassa LUTPub

Aineistot 1-6 / 6

    • Bayesian optimal design in X-ray tomography 

      Tamminen, Juha (2020)
      This thesis focuses on Bayesian optimal design and its applications to X-ray tomography. X-ray tomography is a well-known setting where X-rays are projected at an object. X-ray intensity data is recorded on the other side ...

    • Gamma spectrometry and gamma and X-ray tomography of nuclear fuel 

      Koivuranta, Seppo (2009)
      The purpose of gamma spectrometry and gamma and X-ray tomography of nuclear fuel is to determine both radionuclide concentration and integrity and deformation of nuclear fuel. The aims of this thesis have been to find ...

    • Hamiltonian Monte Carlo and non-Gaussian random field priors for x-ray tomography 

      Suuronen, Jarkko (2019)
      Solving a statistical inverse problem requires selecting an appropriate prior distribution to model the phenomenon in question and using numerical algorithms, like MCMC methods, to calculate the estimates in practise. ...

    • Knot detection from laser point clouds for multimodal matching of wooden material 

      Anisimov, Nikita (2018)
      The goal of this thesis is to establish the effectiveness of using the laser scanning for detecting knots for the task of tracking wood for the sawing process. This thesis describes the method of detecting wooden knots ...

    • Learned image reconstruction in X-ray computed tomography 

      Senchukova, Angelina (2020)
      The basic idea behind X-ray computed tomography (CT) is, given the change in the intensities of X-ray beams passing through a target object, to reconstruct the image of the object's density that is characterized by the ...

    • Segmenting knots in X-ray CT scans of logs 

      Rafid, Arshad (2023)
      The main objective of this thesis is to solve the problem of segmenting wood knots within and on the surface of wood logs by using three-dimensional (3-D) image data of wood logs obtained from X-ray Computerized Tomography ...