The paper proposes a novel approach for gray scale images segmentation . It is based on multiple features extraction from single feature per image pixel, using Echo state network . The newly extractedfeatures — reservoir equilibrium states — reveal hidden image characteristicsthat improve its segmentation via a clustering algorithm . The proposed approach is tested on the benchmark image Lena. Lena. It was demonstrated that the intrinsic plasticity tuning of reservoir fits itsequilibrium states to the original image intensity distribution .

Author(s) : Petia Koprinkova-Hristova

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Keywords : image - approach - segmentation - reservoir - states -

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