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A comparative study on multivariate mathematical morphology
2007
Pattern Recognition
The successful application of univariate morphological operators on several domains, along with the increasing need for processing the plethora of available multivalued images, have been the main motives behind the efforts concentrated on extending the mathematical morphology framework to multivariate data. The few theoretical requirements of this extension, consisting primarily of a ranking scheme as well as extrema operators for vectorial data, have led to numerous suggestions with diverse
doi:10.1016/j.patcog.2007.02.004
fatcat:gk6ugw2elngsfmmbw4eeylk7ly