Optimization of soft-morphological filters by genetic algorithms

Heikki Huttunen; Pauli Kuosmanen; Lasse Koskinen; Jaakko T. Astola

doi:10.1117/12.179192

30 June 1994 Optimization of soft-morphological filters by genetic algorithms

Heikki Huttunen, Pauli Kuosmanen, Lasse Koskinen, Jaakko T. Astola

Proceedings Volume 2300, Image Algebra and Morphological Image Processing V; (1994) https://doi.org/10.1117/12.179192
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Heikki Huttunen, Pauli Kuosmanen, Lasse Koskinen, and Jaakko T. Astola "Optimization of soft-morphological filters by genetic algorithms", Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); https://doi.org/10.1117/12.179192

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