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

100%

Obuchowicz A., Prętki P.

International Journal of Applied Mathematics and Computer Science

2004

tom 14

nr 3

289-316

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 exploration and exploitation abilities of evolutionary algorithms, using SαS mutations for different α, are analyzed by a set of simulation experiments. The obtained results prove the important influence of the surrounding effect of symmetric α-stable mutations on both the abilities considered.

Segmentation of breast cancer fine needle biopsy cytological images

81%

Hrebień M., Steć P., Nieczkowski T., Obuchowicz A.

International Journal of Applied Mathematics and Computer Science

2008

tom 18

nr 2

159-170

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 possible future problems summarizes the work and points out regions that need further research.

Ograniczanie wyników

2 International Journal of Applied Mathematics and Computer Science

2 Obuchowicz A.

1 Hrebień M.

1 Nieczkowski T.

1 Prętki P.

1 Steć P.

1 2008

1 2004

Wyniki wyszukiwania

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

Segmentation of breast cancer fine needle biopsy cytological images