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Proceedings Paper

Decomposition techniques for gray-scale morphological templates
Author(s): Paul D. Gader; Samer Takriti
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Paper Abstract

Template decomposition techniques can be useful for improving the efficiency of image processing algorithms. The improved efficiency can be realized either by reorganizing a computation to fit a specialized structure such as an image processing pipeline or by reducing the number of operations used. In this paper two techniques for decomposing templates with respect to gray-scale morphological operations are presented. One of the techniques can be also be applied to binary templates as well.

Paper Details

Date Published: 1 November 1990
PDF: 12 pages
Proc. SPIE 1350, Image Algebra and Morphological Image Processing, (1 November 1990); doi: 10.1117/12.23610
Show Author Affiliations
Paul D. Gader, Environmental Research Institute of Michigan (United States)
Samer Takriti, Univ. of Michigan (United States)

Published in SPIE Proceedings Vol. 1350:
Image Algebra and Morphological Image Processing
Paul D. Gader, Editor(s)

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