Optimal compositions of soft morphological filters

Pertti T. Koivisto; Heikki Huttunen; Pauli Kuosmanen

doi:10.1117/12.205219

28 March 1995 Optimal compositions of soft morphological filters

Pertti T. Koivisto, Heikki Huttunen, Pauli Kuosmanen

Proceedings Volume 2424, Nonlinear Image Processing VI; (1995) https://doi.org/10.1117/12.205219
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

Soft morphological filters form a large class of nonlinear filters with many desirable properties. However, few design methods exist for these filters and in the existing methods the selection of the filter composition tends to be ad-hoc and application specific. This paper demonstrates how optimization schemes, simulated annealing and genetic algorithms, can be employed in the search for optimal soft morphological filter sequences realizing optimal performance in a given signal processing task. This paper describes also the modifications in the optimization schemes required to obtain sufficient convergence.

Citation Download Citation

Pertti T. Koivisto, Heikki Huttunen, and Pauli Kuosmanen "Optimal compositions of soft morphological filters", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205219

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