The analysis of morphological filters with multiple structuring elements

Abstract

Mathematical morphology has been widely used in the image processing area in recent years. Due to the nature of mathematical morphology, there are limitations in the performance of simple morphological algorithms that use a single structuring element. Combinations of morphological operators with other set operations as well as the utilization of multiple structuring elements can enhance the performance of morphological-based filters. In this paper we present properties of morphological operators that use multiple structuring elements. We show that these properties can be used to design complex morphological-based algorithms.