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Proceedings Paper

Floating stack arrays: a unified representation of linear and morphological filters
Author(s): Stephen S. Wilson
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Paper Abstract

A gray level image in N dimensions can be mapped into an N + 3-dimensional binary space called a floating stack array. The three added dimensions are a stack decomposition, a neighborhood window, and a stack decomposition of a kernel associated with that window. All popular linear and nonlinear translation invariant operators can be represented as a sequence of projections and cross-sections of the floating stack array along various hyperplanes. The operators that can be represented include 2- and 3-dimensional morphology, gray level hit- and-miss transforms, rank order filters, generalized rank order filters, convolutions, and neural networks on an image space.

Paper Details

Date Published: 1 June 1992
PDF: 12 pages
Proc. SPIE 1769, Image Algebra and Morphological Image Processing III, (1 June 1992); doi: 10.1117/12.60653
Show Author Affiliations
Stephen S. Wilson, Applied Intelligent Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 1769:
Image Algebra and Morphological Image Processing III
Paul D. Gader; Edward R. Dougherty; Jean C. Serra, Editor(s)

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