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Proceedings Paper

Morphological pattern-spectra-based Tau-opening optimization
Author(s): Edward R. Dougherty; Robert M. Haralick; Yidong Chen; Bo Li; Carsten Agerskov; Ulrik Jacobi; Poul Henrik Sloth
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Paper Abstract

Morphological tau-openings are binary filters that are translation invariant, increasing, antiextensive, and idempotent. The Matheron representation for tau-opening filters show that they are always given by unions of elementary openings. Historically tau-openings have been employed to restore binary images corrupted by union noise. This paper investigates optimal restoration for the union noise model based upon the individual granulometric pattern spectra of the image and noise. It does so for a class of random-grain image and noise models.

Paper Details

Date Published: 1 November 1991
PDF: 12 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50386
Show Author Affiliations
Edward R. Dougherty, Rochester Institute of Technology (United States)
Robert M. Haralick, Univ. of Washington (United States)
Yidong Chen, Rochester Institute of Technology (United States)
Bo Li, Rochester Institute of Technology (United States)
Carsten Agerskov, Technical Univ. of Denmark (Denmark)
Ulrik Jacobi, Technical Univ. of Denmark (Denmark)
Poul Henrik Sloth, Technical Univ. of Denmark (Denmark)

Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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