Recognition of plane images of group point objects in the presence of detection errors
А. О. Евдокимов · Pattern Recognition and Image Analysis · 2008
Vector-field and amplitude-phase models of group point objects resistant to failures of detection of separate marks are considered. Algorithms for identifying pixels and recognizing and estimating parameters of group point objects are suggested. The dependence of processing performance on the choice of a point object model in the presence of errors is investigated.