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Proceedings Paper

Recursive operations in image algebra
Author(s): Dong Li; Gerhard X. Ritter
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Paper Abstract

The three commonly used high-level image-template operations provided by the image algebra are the generalized convolution the additive maximum or generalized lattice convolution and the multiplicative maximum These are used to realize various nonrecursive image transformations e. g. DFT edge detection and morphological operations. Along with nonrecursive transformations a class of recursive transformations are also widely used in signal and image processing e. g. hR filters sequential block labeling predictive coding etc. . In this paper a couple of new recursive operations are introduced which allow the image algebra to express a set of linear and nonlinear recursive transformations. Algebraic properties of these recursive operations are given which provide a mathematical basis for recursive template composition and decomposition. Also some applications of recursive operations in image processing are presented.

Paper Details

Date Published: 1 November 1990
PDF: 12 pages
Proc. SPIE 1350, Image Algebra and Morphological Image Processing, (1 November 1990); doi: 10.1117/12.23571
Show Author Affiliations
Dong Li, Univ. of Florida (United States)
Gerhard X. Ritter, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 1350:
Image Algebra and Morphological Image Processing
Paul D. Gader, Editor(s)

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