1 November 1991 Morphological pattern-spectra-based Tau-opening optimization
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edward R. Dougherty, Edward R. Dougherty, Robert M. Haralick, Robert M. Haralick, Yidong Chen, Yidong Chen, Bo Li, Bo Li, Carsten Agerskov, Carsten Agerskov, Ulrik Jacobi, Ulrik Jacobi, Poul Henrik Sloth, Poul Henrik Sloth, } "Morphological pattern-spectra-based Tau-opening optimization", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50386; https://doi.org/10.1117/12.50386
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