Abstract: 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.

Keywords: image, spatial reasoning, partitions, covers, interpretation.

ACM Classification Keywords: I.4.6 Segmentation: region growing, partitioning

Link:

IMAGE QUOTIENT SET TRANSFORMS IN SEGMENTATION PROBLEMS

Dmitry Kinoshenko, Sergey Mashtalir, Konstantin Shcherbinin, Elena Yegorova

http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-4-p12.pdf