Metrics on the face-centered cubic lattice

The face-centered cubic lattice and its analogues in dimensions 4 and 5 are known to solve the sphere-packing problem in those dimensions. This property makes these lattices important for image processing in situations where high angular resolution is required, or if a good distance approximation is required. Given that the approximation to Euclidean distance is better for these lattices than for the standard Cartesian lattice, it is necessary to provide a distance measure for the lattices. We show how to construct two different metrics for the face-centered cubic lattice, and how this metric can be extended to higher dimensions.

[1]  Ian Overington,et al.  Computer vision - a unified, biologically-inspired approach , 1992 .

[2]  Kendall Preston Three-dimensional mathematical morphology , 1991, Image Vis. Comput..

[3]  Azriel Rosenfeld,et al.  Digital topology: Introduction and survey , 1989, Comput. Vis. Graph. Image Process..

[4]  A. W. Roscoe,et al.  A theory of binary digital pictures , 1985, Comput. Vis. Graph. Image Process..

[5]  David C. Mason,et al.  A digital geometry for hexagonal pixels , 1989, Image Vis. Comput..

[6]  Kendall Preston,et al.  Multidimensional Logical Transforms , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Gunilla Borgefors,et al.  Distance transformations on hexagonal grids , 1989, Pattern Recognit. Lett..