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Phenotypic evolution with a mutation based on symmetric α-stable distributions

Andrzej ObuchowiczPrzemysław Prętki — 2004

International Journal of Applied Mathematics and Computer Science

Multidimensional Symmetric α-Stable (SαS) mutations are applied to phenotypic evolutionary algorithms. Such mutations are characterized by non-spherical symmetry for α<2 and the fact that the most probable distance of mutated points is not in a close neighborhood of the origin, but at a certain distance from it. It is the so-called surrounding effect (Obuchowicz, 2001b; 2003b). For α=2, the SαS mutation reduces to the Gaussian one, and in the case of α=1, the Cauchy mutation is obtained. The...

Segmentation of breast cancer fine needle biopsy cytological images

Maciej HrebieńPiotr StećTomasz NieczkowskiAndrzej Obuchowicz — 2008

International Journal of Applied Mathematics and Computer Science

This paper describes three cytological image segmentation methods. The analysis includes the watershed algorithm, active contouring and a cellular automata GrowCut method. One can also find here a description of image pre-processing, Hough transform based pre-segmentation and an automatic nuclei localization mechanism used in our approach. Preliminary experimental results collected on a benchmark database present the quality of the methods in the analyzed issue. The discussion of common errors and...

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