Bit mixing paradigm for multivalued morphological filters

In this paper, a total ordering scheme for multivariate data, based on the bit mixing paradigm, is presented. This ranking scheme is then used to extend morphological filters to the vectorial case. Results concerning the alternating sequential filtering by reconstruction of colour images are presented.