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Proceedings Paper

Design of soft morphological filters by learning
Author(s): Pertti T. Koivisto; Pauli Kuosmanen
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Paper Abstract

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.

Paper Details

Date Published: 1 May 1994
PDF: 12 pages
Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); doi: 10.1117/12.172580
Show Author Affiliations
Pertti T. Koivisto, Univ. of Tampere (Finland)
Pauli Kuosmanen, Univ. of Tampere (Finland)


Published in SPIE Proceedings Vol. 2180:
Nonlinear Image Processing V
Edward R. Dougherty; Jaakko Astola; Harold G. Longbotham, Editor(s)

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