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Proceedings Paper

Three-dimensional mathematical morphology algorithms
Author(s): Kendall Preston Jr.
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Paper Abstract

This paper discusses three-dimensional mathematical morphology using FCC (Face Centered Cubic) tessellation for executing both augmentation (dilation) and reduction (erosion). By treating gray level images as three-dimensional surfaces and using this tessellation with its 12-element neighborhood, the author has designed an architecture having flash-convolver speed for use in gray level image processing. The first step in this novel approach is to convert the gray level image into a binary surface by column encoding. After conversion the gray level image consists of volume elements (voxels) each of which has a binary value of either one or zero. The FCC convolution kernel is then ud to address each voxel and modify its value according a lookup table consisting of 213 = 8192 entries. This paper will describe the algorithms which can be executed using this methodology.

Paper Details

Date Published: 1 July 1990
PDF: 6 pages
Proc. SPIE 1246, Parallel Architectures for Image Processing, (1 July 1990); doi: 10.1117/12.19579
Show Author Affiliations
Kendall Preston Jr., Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 1246:
Parallel Architectures for Image Processing
Joydeep Ghosh; Colin G. Harrison, Editor(s)

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