Efficient software techniques for morphological image processing with desktop computers

Michael A. Zmuda; Louis A. Tamburino; Mateen M. Rizki

doi:10.1117/12.44849

1 August 1991 Efficient software techniques for morphological image processing with desktop computers

Michael A. Zmuda, Louis A. Tamburino, Mateen M. Rizki

Proceedings Volume 1470, Data Structures and Target Classification; (1991) https://doi.org/10.1117/12.44849
Event: Orlando '91, 1991, Orlando, FL, United States

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.

Citation Download Citation

Michael A. Zmuda, Louis A. Tamburino, and Mateen M. Rizki "Efficient software techniques for morphological image processing with desktop computers", Proc. SPIE 1470, Data Structures and Target Classification, (1 August 1991); https://doi.org/10.1117/12.44849

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