Add to ORKGThe maximum entropy method combined with a smoothing restriction was applied to the tomography of a BNC connector using five noisy radiographies from different rotating views. A heuristic control of the filter parameter is constructed by combining the projection error and the global smoothness. The proposed algorithm can be used in cases where the homogeneity of internal material is a priori known from the design and manufacturing processes.Fil: Barbuzza, Rosana Graciela. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; ArgentinaFil: Clausse...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
This paper reviews and compares three maximum likelihood algorithms for transmission tomography. One...
The expectation maximization (EM) algorithm is extensively used for tomographic image reconstruction...
The Maximum Entropy criterion can be utilised for tomographic reconstruction of two-dimensional dist...
AbstractGeneralization of the maximum entropy method (MEM) for the reconstruction of sign-altering f...
AbstractGeneralization of the maximum entropy method (MEM) for the reconstruction of sign-altering f...
The aim of the research was to develop the technique of maximum entropy for clinical application and...
Optical Computed Tomography is a useful tool for plasma diagnostics. But in plasma physics, viewing ...
Abstract The aim of industrial process control is to convert measurements, taken while the process i...
The use of pinhole collimators for cancer scanning in humans is not yet widespread. Based on the ani...
In this paper we study local tomography (LT) in the motion contaminated case. It is shown that micro...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
This paper reviews and compares three maximum likelihood algorithms for transmission tomography. One...
The expectation maximization (EM) algorithm is extensively used for tomographic image reconstruction...
The Maximum Entropy criterion can be utilised for tomographic reconstruction of two-dimensional dist...
AbstractGeneralization of the maximum entropy method (MEM) for the reconstruction of sign-altering f...
AbstractGeneralization of the maximum entropy method (MEM) for the reconstruction of sign-altering f...
The aim of the research was to develop the technique of maximum entropy for clinical application and...
Optical Computed Tomography is a useful tool for plasma diagnostics. But in plasma physics, viewing ...
Abstract The aim of industrial process control is to convert measurements, taken while the process i...
The use of pinhole collimators for cancer scanning in humans is not yet widespread. Based on the ani...
In this paper we study local tomography (LT) in the motion contaminated case. It is shown that micro...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
This paper reviews and compares three maximum likelihood algorithms for transmission tomography. One...
The expectation maximization (EM) algorithm is extensively used for tomographic image reconstruction...