reunapohjainen

Reunapohjainen is a Finnish adjective meaning based on edges or boundaries. The compound comes from reuna, edge or border, and pohjainen, based on; together they describe approaches or models that derive from the properties of the edges rather than from the elements at their interior.

In graph theory and network analysis, reunapohjainen approaches focus on edge properties—such as connectivity, weights, or patterns of incidence—while potentially treating nodes as secondary. In image processing, reunapohjaiset menetelmät rely on image gradients to detect boundaries and perform segmentation along detected edges, as in edge-based segmentation or edge detection methods like Canny or Sobel, in contrast to region-based segmentation that uses pixel similarity within regions.

In geographic information systems and spatial modeling, the term can describe methods that approximate phenomena by considering borders and adjacencies between spatial units (for example along polygon edges) rather than solely by the attributes of the units themselves.

Usage and prevalence: The term is primarily used in Finnish-language technical literature. In English texts, the equivalent is typically edge-based or boundary-based depending on context. The concept is interdisciplinary, applied wherever the analysis or modeling prioritizes the role of borders, connections, or interface regions over the properties of interior elements.