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Proceedings Paper

Tutorial On Advances In Morphological Image Processing And Analysis
Author(s): Petros Maragos
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Paper Abstract

This paper reviews some recent advances in the theory and applications of morphological image analysis. In applications, we show how the morphological filters can be used to provide simple and systematic algorithms for image processing and analysis tasks as diverse as nonlinear image filtering; noise suppression; edge detection; region filling; skeletonization; coding; shape representation, smoothing, and recognition. In theory, we summarize the represen-tation of a large class of translation-invariant nonlinear filters (including morphological, median, order-statistics, and shape recognition filters) as a minimal combination of morphological erosions or dilations; these results provide new realizations of these filters and lead to a unified image alge-bra.

Paper Details

Date Published: 20 November 1986
PDF: 11 pages
Proc. SPIE 0707, Visual Communications and Image Processing, (20 November 1986); doi: 10.1117/12.937249
Show Author Affiliations
Petros Maragos, Harvard University (United States)


Published in SPIE Proceedings Vol. 0707:
Visual Communications and Image Processing
T. Russell Hsing, Editor(s)

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