Error propagation analysis for edge postprocessing
Maria Petrou, Petros Papachristou, Josef Kittler · 2002
A post-processing scheme for edge detectors is described, that is based on the method of probabilistic relaxation where the binary relations between the possible edgels are explicitly modelled. The probability density functions of the errors in the measurements of these quantities have been rigorously derived from the assumed Gaussian distribution of errors in the image gray values.