Training-based optimization of soft morphological filters

Pertti T. Koivisto; Heikki Huttunen; Pauli Kuosmanen

doi:10.1117/12.242617

1 July 1996 Training-based optimization of soft morphological filters

Pertti T. Koivisto, Heikki Huttunen, Pauli Kuosmanen

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Journal of Electronic Imaging, Vol. 5, Issue 3, (July 1996). https://doi.org/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.

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Pertti T. Koivisto, Heikki Huttunen, and Pauli Kuosmanen "Training-based optimization of soft morphological filters," Journal of Electronic Imaging 5(3), (1 July 1996). https://doi.org/10.1117/12.242617

Published: 1 July 1996

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