Empirically convergent adaptive estimation of grayvalue structure tensors

Abstract

An iterative adaptation process for the estimation of a Gray-value Structure Tensor (GST) is studied experimentally: alternative adaptation rules, different parameterizations, and two convergence criteria are compared. The basic adaptation process converges for both synthetic and real image sequences in most cases towards essentially the same results even if different parameters are used. Only two identifiable local grayvalue configurations have been encountered so far where adaptation variants do not converge according to the chosen criteria. © Springer-Verlag Berlin Heidelberg 2002.