Title :
A genetic algorithm for adaptive tomography of elliptical objects
Author :
Venere, Marcelo ; Liao, Hstau ; Clausse, Alejandro
Author_Institution :
CNEA, Univ. Nacional del Centro, Argentina
fDate :
7/1/2000 12:00:00 AM
Abstract :
A probabilistic algorithm for on-line tomographic reconstruction of ellipse-like images is presented. The algorithm takes advantage of the characteristic preferential direction of the objects, constructing a guidance function to select the angles for subsequent radiographic projections. The simulation results confirm that the technique reduces the number of projections required to achieve a given quality limit.
Keywords :
computerised tomography; crack detection; genetic algorithms; image reconstruction; radiography; adaptive tomography; crack detection; ellipse-like images; elliptical objects; genetic algorithm; guidance function; image reconstruction; on-line tomographic reconstruction; preferential direction; probabilistic algorithm; radiographic projections; simulation results; Costs; Genetic algorithms; Image processing; Image reconstruction; Plasma materials processing; Production; Radiography; Reconstruction algorithms; Subspace constraints; Tomography;
Journal_Title :
Signal Processing Letters, IEEE
