Voronoi polygons are used as neighborhoods of points in dot patterns. This approach is compared with the other available notions of neighborhood, including those involving fixed radius, k nearest neighbors and minimal spanning tree. It is argued that Voronoi polygons possess intuitively appealing characteristics expected from a notion of the neighborhood of a point. Applications of the proposed definition to several common tasks in dot pattern processing including clustering, perceptual boundary extraction, and matching are outlined.
|Original language||English (US)|
|Number of pages||6|
|Journal||NATO Conference Series, (Series) 4: Marine Sciences|
|State||Published - 1980|
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