Chaotic Neurons Network with Plastic Couplings for Image Segmentation and Posterization

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The purpose of this study is to develop basic technologies on a dynamic image-segmentation system that is applicable to high-resolution, continuous-tone images. On the basis of nonlinear dynamical systems theory, we analyzed the dynamics of discrete-time chaotic neurons with plastic couplings. The results suggested appropriate values of system parameters for dynamic image segmentation. The proposed system with tuned parameter values worked for several medical images. Moreover, an implementation of the proposed system into a graphics processing unit yielded faster dynamic image segmentation than that executed in a central processing unit.