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Proceedings Paper

Application of SKIPSM to various 3x3 image processing operations
Author(s): Frederick M. Waltz
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Paper Abstract

Most of the published work about SKIPSM (Separated-Kernel Image Processing using finite-State Machines) has concentrated on large-neighborhood operations (e.g., binary morphology, Gaussian blur), because the speed improvements are the most dramatic in such cases. However, there are many frequently, used 3 X 3 operations that could also benefit from speed improvements that arise from separability and the use of finite-state machines. This paper shows SKIPSM implementations for an extensive list of 3 X 3 operations, including various edge detectors, connectivity detectors, direction of brightest neighbor, largest gradient, and direction of largest gradient. A generic implementation applicable to all 3 X 3 binary operations, whether separable of non-separate, is also given.

Paper Details

Date Published: 6 October 1998
PDF: 8 pages
Proc. SPIE 3521, Machine Vision Systems for Inspection and Metrology VII, (6 October 1998); doi: 10.1117/12.326969
Show Author Affiliations
Frederick M. Waltz, Consultant (United States)


Published in SPIE Proceedings Vol. 3521:
Machine Vision Systems for Inspection and Metrology VII
Bruce G. Batchelor; John W. V. Miller; Susan Snell Solomon, Editor(s)

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