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Proceedings Paper

Systolic array for real-time morphological image processing
Author(s): Elias S. Manolakos; Jinhong K. Guo
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Paper Abstract

In this paper we systematically synthesize a mesh-type VLSI application specific array architecture for real-time morphological image processing. The array can perform dilations, erosion or successive combinations of the two (opening and closing) at video rates. The 2-D image can be gray-level (or binary) and the structuring element of any arbitrary shape, as long as its bounding box is known. A partitioning scheme is proposed that can be used to decompose and match the large size problem to a smaller target array.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131373
Show Author Affiliations
Elias S. Manolakos, Northeastern Univ. (United States)
Jinhong K. Guo, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

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