1 October 1993 Model-based algorithm for designing suboptimal morphological filters for restoring subtractive-noise-corrupted images
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J. of Electronic Imaging, 2(4), (1993). doi:10.1117/12.152358
Abstract
Simple optimization procedures are used to obtain suboptimal filters based on the Matheron expansion for binary images corrupted by subtractive noise. The Matheron expansion allows us to represent all morphological filters as either a union of erosions or an intersection of dilations. We perform a search over a subset of the filters represented by the union-of-erosions version of the Matheron expansion. We present results for a set of simple binary images with regular borders and a more complex set with very irregular borders. Results are compared against results for binary closings.
Ian R. Joughin, Robert M. Haralick, Edward R. Dougherty, "Model-based algorithm for designing suboptimal morphological filters for restoring subtractive-noise-corrupted images," Journal of Electronic Imaging 2(4), (1 October 1993). http://dx.doi.org/10.1117/12.152358
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KEYWORDS
Image filtering

Binary data

Model-based design

Mathematical modeling

Nonlinear filtering

Electronic filtering

Optical filters

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