The minimum-perimeter polygon of a silhouette has been shown to be a means for recognizing convex silhouettes and for smoothing the effects of digitization in silhouettes. We describe a new method of computing the minimum-perimeter polygon (MPP) of any digitized silhouette satisfying certain constraints of connectedness and smoothness, and establish the underlying theory. Such a digitized silhouette is called a ``regular complex,'' in accordance with the usage in piecewise linear topology. The method makes use of the concept of a stretched string constrained to lie in the cellular boundary of the digitized silhouette. We show that, by properly marking the virtual as well as the real vertices of an MPP, the MPP can serve as a precise representation of any regular complex, and that this representation is often an economical one.
[1]
J. Hudson.
Piecewise linear topology
,
1966
.
[2]
Ugo Montanari.
On Limit Properties in Digitization Schemes
,
1970,
JACM.
[3]
Azriel Rosenfeld,et al.
Computer representation of planar regions by their skeletons
,
1967,
CACM.
[4]
Herbert Freeman,et al.
On the Encoding of Arbitrary Geometric Configurations
,
1961,
IRE Trans. Electron. Comput..
[5]
Jack Sklansky,et al.
Recognition of convex blobs
,
1970,
Pattern Recognit..
[6]
Jerome Feder,et al.
Languages of Encoded Line Patterns
,
1968,
Inf. Control..
[7]
Ugo Montanari,et al.
A note on minimal length polygonal approximation to a digitized contour
,
1970,
CACM.
[8]
Azriel Rosenfeld,et al.
Connectivity in Digital Pictures
,
1970,
JACM.