Institute of Information Theories and Applications FOI ITHEA
Image content interpretation is much dependent on segmentations efficiency. Requirements for the
image recognition applications lead to a nessesity to create models of new type, which will provide some
adaptation between law-level image processing, when images are segmented into disjoint regions and features
are extracted from each region, and high-level analysis, using obtained set of all features for making decisions.
Such analysis requires some a priori information, measurable region properties, heuristics, and plausibility of
computational inference. Sometimes to produce reliable true conclusion simultaneous processing of several
partitions is desired. In this paper a set of operations with obtained image segmentation and a nested partitions
metric are introduced.