Abstract
Algorithms to detect pairs of edges that could be ends of a
straight homogeneous generalized cylinder (SHGC) are proposed.
Geometrical constraints for the ends of an SHGC are utilized to group
edge elements and edge segments in a complex image. Two methods are
investigated. The first algorithm is for a subset of SHGCs for which
scaling factors of the cross section at both ends are the same. The
second algorithm is for any SHGC. However, a modified version is
implemented to reduce computation; given a reference and edge, it finds
the edges possibly paired with it. Several examples of ends extracted
from real images are reported to show the feasibility of the algorithm
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