TY - JOUR
T1 - Constructing area voronoi diagram based on direct calculation of the Freeman code of expanded contours
AU - Lu, Yue
AU - Xiao, Chunyun
AU - Tan, Chew Lim
PY - 2007/8
Y1 - 2007/8
N2 - A Voronoi diagram of image elements provides an intuitive and appealing definition of proximity, which has been suggested as an effective tool for the description of relations among the neighboring objects in a digital image. In this paper, an implementation algorithm based on direct calculation of the Freeman code of expanded contours is proposed for generating area Voronoi diagram of connected components. A closed convex polygon is utilized to bound each connected component, as an approximate representation, and the contour is represented using Freeman chain coding, from which we can compute the corresponding Freeman chain coding of its expanded contour directly, without recourse to the operation on pixels. While the contours iteratively expand outwards, the Voronoi diagram is constructed by the intersections of the expanded contours from different connected components. The experimental results show that our proposed approach significantly improves the speed of constructing area Voronoi diagram in digital images.
AB - A Voronoi diagram of image elements provides an intuitive and appealing definition of proximity, which has been suggested as an effective tool for the description of relations among the neighboring objects in a digital image. In this paper, an implementation algorithm based on direct calculation of the Freeman code of expanded contours is proposed for generating area Voronoi diagram of connected components. A closed convex polygon is utilized to bound each connected component, as an approximate representation, and the contour is represented using Freeman chain coding, from which we can compute the corresponding Freeman chain coding of its expanded contour directly, without recourse to the operation on pixels. While the contours iteratively expand outwards, the Voronoi diagram is constructed by the intersections of the expanded contours from different connected components. The experimental results show that our proposed approach significantly improves the speed of constructing area Voronoi diagram in digital images.
KW - Area voronoi diagram
KW - Connected component
KW - Freeman chain coding
UR - https://www.scopus.com/pages/publications/34547801658
U2 - 10.1142/S0218001407005764
DO - 10.1142/S0218001407005764
M3 - 文章
AN - SCOPUS:34547801658
SN - 0218-0014
VL - 21
SP - 947
EP - 960
JO - International Journal of Pattern Recognition and Artificial Intelligence
JF - International Journal of Pattern Recognition and Artificial Intelligence
IS - 5
ER -