Design of soft morphological filters by learning

The choice and detailed design of the structuring elements play a pivotal role in soft morphological processing of images. This paper proposes a learning method for the optimization of the structuring elements of soft morphological filters under given optimization criterium. The learning method is based on simulated annealing. Experimental results depicted herein illustrate that the proposed method can be applied to finding optimal structuring systems in practical situations.

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