1 July 1996 Training-based optimization of soft morphological filters
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J. of Electronic Imaging, 5(3), (1996). doi:10.1117/12.242617
Abstract
Soft morphological filters form a large class of nonlinear filters with many desirable properties. However, few design methods exist for these filters. This paper demonstrates how optimization schemes, simulated annealing and genetic algorithms, can be employed in the search for soft morphological filters having optimal performance in a given signal processing task. Furthermore, the properties of the achieved optimal soft morphological filters in different situations are analyzed.
Pertti T. Koivisto, Heikki Huttunen, Pauli Kuosmanen, "Training-based optimization of soft morphological filters," Journal of Electronic Imaging 5(3), (1 July 1996). http://dx.doi.org/10.1117/12.242617
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KEYWORDS
Image filtering

Optimal filtering

Composites

Digital filtering

Bridges

Filtering (signal processing)

Electronic filtering

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