Article ID Journal Published Year Pages File Type
527302 Image and Vision Computing 2008 9 Pages PDF
Abstract

The preservation of topological properties during digitization is a hard problem in 3 and higher dimensions. Only for the very restricted class of r-regular shapes it is known that the connectivity and inclusion properties of shape components do not change.In a previous paper it was shown for the 2D case, how a much wider class of shapes, for which the morphological open–close and the close–open-operator with an r-disc lead to the same result, can be digitized correctly in this sense by using an additional repairing step.This paper extends this to the arbitrary dimensions and analyses the difficulties which occur in 3 or higher dimensional spaces.The repairing step is easy to compute, parallelizable and does not change as much hyper-voxels as a preprocessing regularization step. The results are applicable for arbitrary, even irregular, sampling grids in arbitrary dimensions.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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