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Proceedings Paper

SKIPSM implementations: morphology and much, much more
Author(s): Frederick M. Waltz
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Paper Abstract

A new method of implementing a wide range of standard image processing operations in a real-time finite-state-machine architecture has been presented at various conferences in the past year. This architecture, under the generic name SKIPSM (separated-kernel image processing using finite state machines), has been shown to be capable of carrying out binary morphology with very large arbitrary structuring elements, simultaneous application of many binary structuring elements, gray-level morphology, binary and gray-level template matching, binary skeletonization, binary correlation, row and column summations, and many other operations. This paper describes inexpensive hardware implementations of the SKIPSM architecture, including a daughter board compatible with commercially available pipelined image processing hardware.

Paper Details

Date Published: 3 October 1995
PDF: 8 pages
Proc. SPIE 2597, Machine Vision Applications, Architectures, and Systems Integration IV, (3 October 1995); doi: 10.1117/12.223970
Show Author Affiliations
Frederick M. Waltz, Consultant (United States)

Published in SPIE Proceedings Vol. 2597:
Machine Vision Applications, Architectures, and Systems Integration IV
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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