Paper
30 June 1994 Optimal openings for overlapping signal and noise grains
Clara Cuciurean-Zapan, Edward R. Dougherty
Author Affiliations +
Abstract
Optimal openings are considered for extraction of signal from noise in the random binary union-noise model. Disjointness of signal and noise is not assumed, nor are grains within the signal or within the noise assumed to be disjoint. There is a constraint on the overlapping, but this reflects the manner in which binary granular images are derived from gray-scale images of touching objects. The method assumes that the degraded image is segmented by the binary watershed algorithm and that an optimal opening by reconstruction must be found to remove segmented noise grains while passing segmented signal grains.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Clara Cuciurean-Zapan and Edward R. Dougherty "Optimal openings for overlapping signal and noise grains", Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); https://doi.org/10.1117/12.179211
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Cited by 5 scholarly publications.
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KEYWORDS
Interference (communication)

Image segmentation

Mathematical modeling

Signal processing

Binary data

Silicon

Image processing

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