An efficient shape representation scheme using Voronoi skeletons

Autor: Niranjan Mayya, Vadakkedathu T. Rajan
Rok vydání: 1995
Předmět:
Zdroj: Pattern Recognition Letters. 16:147-160
ISSN: 0167-8655
DOI: 10.1016/0167-8655(94)00087-j
Popis: This paper describes an efficient shape representation scheme using Voronoi skeletons. This paper makes the following significant contributions. First a new algorithm for the construction of the Voronoi diagram of a polygon with holes is described. The main features of this algorithm are its robustness in handling the standard degenerate cases (colinearity of more than two points; co-circularity of more than three points), and its ease of implementation . The algorithm has been fully implemented and tested on a variety of test inputs. Second, the Voronoi diagram of a polygon is used to derive accurate and robust skeletons for planar shapes . The shape representation scheme using Voronoi skeletons possesess the important properties of connectivity as well as Euclidean metrics. Redundant skeletal edges are deleted in a pruning step which guarantees that connectivity of the skeleton will be preserved.
Databáze: OpenAIRE