Efficiently Storing Well-Composed Polyhedral Complexes Computed Over 3D Binary Images
Efficiently Storing Well-Composed Polyhedral Complexes Computed Over 3D Binary Images
复制标题
有效存储通过 3D 二进制图像计算的组成良好的多面体复合体
DOI:
10.1007/s10851-017-0722-8
复制
发表时间:
2017
影响因子:
2
通讯作者:
B. Medrano
中科院分区:
文献类型:
--
作者:
Rocio Gonzalez;M. Jiménez;B. Medrano
A 3D binary imageIcan be naturally represented by a combinatorial-algebraic structure called cubical complex and denoted byQ(I), whose basic building blocks are vertices, edges, square faces and cubes. In Gonzalez-Diaz et al. (Discret Appl Math 183:59–77, 2015), we presented a method to “locally repair”Q(I) to obtain a polyhedral complexP(I) (whose basic building blocks are vertices, edges, specific polygons and polyhedra), homotopy equivalent toQ(I), satisfying that its boundary surface is a 2D manifold.P(I) is called awell-composed polyhedral complex over the pictureI. Besides, we developed a new codification system forP(I), encoding geometric information of the cells ofP(I) under the form of a 3D grayscale image, and the boundary face relations of the cells ofP(I) under the form of a set of structuring elements. In this paper, we build upon (Gonzalez-Diaz et al. 2015) and prove that, to retrieve topological and geometric information ofP(I), it is enough to store just one 3D point per polyhedron and hence neither grayscale image nor set of structuring elements are needed. From this “minimal” codification ofP(I), we finally present a method to compute the 2-cells in the boundary surface ofP(I).
影响因子:
1.3
作者:
D. Kozlov
通讯作者:
D. Kozlov