Accurate centroid tracking

The object of this work was to develop analytical tools for describing errors associated with mosaic array centroiding. As an example of a current problem, a Monte Carlo simulation of a point source tracking problem was implemented. Then for a given noise and image model, the accuracy of the image tracking was evaluated. In general the various causes for error in the centroid estimate were pixel geometry, device and background noise, and energy spillage outside window. Both mean errors (bias) and distribution about the mean (variance) were studied. The conclusions were: • Various sources of centroid estimation errors were developed. • A Monte Carlo simulation of track position estimation was evaluated for various scenarios. • Multiple measurements could be shown to provide resolution of a fraction of a pixel. © 1983 SPIE.

Duke Scholars

Author Kenneth C. Hall Thomas Lord Department of Mechanical Engineering and Materia ...