DocumentCode
3382446
Title
Fundamentals of three-dimensional mathematical morphology
Author
Preston, K., Jr.
Author_Institution
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
ii
fYear
1990
fDate
16-21 Jun 1990
Firstpage
422
Abstract
Three-dimensional mathematical morphology and its implementation in three-dimensional cellular automation are discussed. Automata having up to 262,144 PEs (processing elements) have been emulated using the Triakis software. Each PE in addition to its present state (either on or off) is permitted by Triakis software to store up to 20 previous states and is assigned a program word having 2N binary locations (bits), where (N -1) is the number of neighbors to which the PE is connected. Triakis uses the FCC (face-centered cubic) tessellation, where the kernel is the tetradekahedron and N =13. The problem of embedding the tetradekahedron in the 64×64×64 array is addressed, and properties of the FCC tessellation are examined. The use of the approach for analyzing true three-dimensional binary data from CT (computer tomography) and MR (magnetic resonance) and three-dimensional binary arrays generated from column encoding gray-level imagery is reported
Keywords
automata theory; computerised picture processing; computerised tomography; 3D binary arrays; 3D cellular automation; 3D mathematical morphology; Triakis software; column encoding; computer tomography; computerised picture processing; face centered cubic tessellation; gray-level imagery; magnetic resonance; tetradekahedron; Automata; Automation; Computed tomography; FCC; Image analysis; Image coding; Kernel; Magnetic analysis; Magnetic resonance; Morphology;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location
Atlantic City, NJ
Print_ISBN
0-8186-2062-5
Type
conf
DOI
10.1109/ICPR.1990.119394
Filename
119394
Link To Document