Abstract
Given a set of n straight line segments each described by its two end points, we propose two novel algorithms for detecting all basis polygons formed by them. The algorithms, based on traversals along the sides of the basis polygons, detect the polygons in O(n) time using n2 processors. The first algorithm handles the simple scenes consisting of convex basis polygons only, while the second one deals with the general situation. These algorithms have been simulated and tested for a number of input sets of intersecting line segments.
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© 2002 Springer-Verlag Berlin Heidelberg
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Laha, A., Sen, A., Sinha, B.P. (2002). Parallel Algorithms for Identification of Basis Polygons in an Image. In: Sahni, S., Prasanna, V.K., Shukla, U. (eds) High Performance Computing — HiPC 2002. HiPC 2002. Lecture Notes in Computer Science, vol 2552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36265-7_29
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DOI: https://doi.org/10.1007/3-540-36265-7_29
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