Paper
27 December 2000 Mathematical morphology three-dimensional binary image representation
Dragos Nicolae Vizireanu, A. Vizireanu, V. Lazarescu
Author Affiliations +
Proceedings Volume 4311, Internet Imaging II; (2000) https://doi.org/10.1117/12.411896
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
This research addresses the representation of 3D binary images by means of mathematical morphology. In this work, the main image representation is called structure representation, useful for 3D binary image compression. It consists of first calculating the balls (or other predefined 3D convex shapes) with the greatest size contained inside the 3D shape, then taking the residue (set difference) between the original 3D shape to the above greatest balls, and finally reiterating the above procedure on the residue until the whole shape is decomposed. The resulting decomposition elements are, therefore, disjoint. Original shape can perfectly reconstruct. The 3D structure representation is generalized, to extend the scope of its algebraic characteristics as much as possible.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dragos Nicolae Vizireanu, A. Vizireanu, and V. Lazarescu "Mathematical morphology three-dimensional binary image representation", Proc. SPIE 4311, Internet Imaging II, (27 December 2000); https://doi.org/10.1117/12.411896
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
3D image processing

Binary data

Mathematical morphology

Chemical elements

3D image reconstruction

Image compression

Multi-element lenses

RELATED CONTENT


Back to Top