A STUDY OF DISCRETE PROPAGATION-BASED MODELS FOR PICTORIAL PATTERN ANALYSIS.
Final rept. 1 Jun 66-31 May 67,
KAFAFIAN (HAIG) ASSOCIATES WASHINGTON D C
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This report describes algorithms for computing various functions on a digital picture which depend on the distance to a given subset of the picture. The algorithms involve local operations which are performed repeatedly, in parallel, on every picture element and its immediate neighbors. Applications to the detection of clusters and regularities in a picture, and to the dissection of a region into pieces, are also described. The medial axis transforms skeletons resulting from the various distance-dependent functions are compared, with particular regard to noise sensitivity. Author