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Proceedings Paper

Optimization of soft-morphological filters by genetic algorithms
Author(s): Heikki Huttunen; Pauli Kuosmanen; Lasse Koskinen; Jaakko T. Astola
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Paper Abstract

In this work we present a new approach to robust image modeling. the proposed method is based on M-estimation algorithms. However, unlike in other M-estimator based image processing algorithms, the new algorithm takes into consideration spatial relations between picture elements. The contribution of the sample to the model depends not only on the current residual of that sample, but also on the neighboring residuals. In order to test the proposed algorithm we apply it to an image filtering problem, where images are modeled as piecewise polynomials. We show that the filter based on our algorithm has excellent detail preserving properties while suppressing additive Gaussian and impulsive noise very efficiently.

Paper Details

Date Published: 30 June 1994
PDF: 12 pages
Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); doi: 10.1117/12.179192
Show Author Affiliations
Heikki Huttunen, Univ. of Tampere (Finland)
Pauli Kuosmanen, Tampere Univ. of Technology (Finland)
Lasse Koskinen, Univ. of Tampere (Finland)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 2300:
Image Algebra and Morphological Image Processing V
Edward R. Dougherty; Paul D. Gader; Michel Schmitt, Editor(s)

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