Beside images there are also objects called labelings that essentially represent segmentations, i.e. partitions of images into segments. Similar to images they can have multiple dimensions and only differ in a way that each pixel position is associated with an arbitrary label (normally a string) instead of a numeric value. This enables one to assign a common label (name, class, etc.) to a group of pixels for identification and discrimination from other pixels. A labeling is the usual outcome of a segmentation algorithm (e.g. Connected Component Analysis-node) and can be subsequently used to calculate features on the segments (measurements), filter segments and much more (see Section 3).