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Proceedings Paper

Efficient software techniques for morphological image processing with desktop computers
Author(s): Michael A. Zmuda; Louis A. Tamburino; Mateen M. Rizki
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Paper Abstract

The basis of a system for processing binary images with the operations of mathematical morphology is described. This system exploits the properties of mathematical morphology to minimize computing time and storage requirements. Images are stored in data structures which are memory-efficient and allow several images to be processed simultaneously. Techniques are also presented for efficiently storing globally sized structuring elements. These ternary images are stored in data structures which utilize an adaptive window to provide storage for a 2M X 2N specification space in an optimal M X N data structure. This representation provides efficient storage, retrieval, and comparison of generalized structuring elements.

Paper Details

Date Published: 1 August 1991
PDF: 7 pages
Proc. SPIE 1470, Data Structures and Target Classification, (1 August 1991); doi: 10.1117/12.44849
Show Author Affiliations
Michael A. Zmuda, Wright State Univ. (United States)
Louis A. Tamburino, Wright Lab. (United States)
Mateen M. Rizki, Wright State Univ. (United States)

Published in SPIE Proceedings Vol. 1470:
Data Structures and Target Classification
Vibeke Libby, Editor(s)

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