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Proceedings Paper

Morphology-based processor for real-time enhancement
Author(s): Paul J. Drongowski; Keith M. Andress
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Paper Abstract

This report describes an image enhancement processor which uses mathematical morphology to improve contrast. Our goal is the realtime enhancement of cardiac angiograms and the near- realtime enhancement of peripheral angiograms (e.g., arms and legs.) It consists of two systolic arrays for morphological processing and an image combination unit for simple pixel by pixel arithmetic and logical operations. The arrays and image combination unit will be integrated into a standard framework (Datacube MAXbus) for image capture, storage, and display. The rest of this report is structured in the following way: The requirements, basic enhancement technique and processor structure are given in the next section. Then the design of the systolic arrays, image combination, and delay units are presented followed by a discussion of the Datacube image processing framework. An organization level simulation was developed to validate the systolic design and results are summarized. Finally, conclusions are made and open issues are discussed.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1823, Machine Vision Applications, Architectures, and Systems Integration, (1 November 1992); doi: 10.1117/12.132060
Show Author Affiliations
Paul J. Drongowski, Siemens Corporate Research Inc. (United States)
Keith M. Andress, Siemens Corporate Research Inc. (United States)


Published in SPIE Proceedings Vol. 1823:
Machine Vision Applications, Architectures, and Systems Integration
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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