Add to ORKGThe standard representations know as component trees, used in morphological connected attribute filtering and multi-scale analysis, are unsuitable for cases in which either the image itself, or the tree do not fit in the memory of a single compute node. Recently, a new structure has been developed which consists of a collection of modified component trees, one for each image tile. It has to date only been applied to fairly simple image filtering based on area. In this paper we explore other applications of these distributed component forests, in particular to multi-scale analysis such as pattern spectra, and morphological attribute profiles and multi-scale leveling segmentation