%0 Journal Article
%T Segmentation algorithm via Cellular Neural/Nonlinear Network: implementation on Bio-inspired hardware platform
%A Karabiber Fethullah
%A Vecchio Pietro
%A Grassi Giuseppe
%J EURASIP Journal on Advances in Signal Processing
%D 2011
%I Springer
%X The Bio-inspired (Bi-i) Cellular Vision System is a computing platform consisting of sensing, array sensing-processing, and digital signal processing. The platform is based on the Cellular Neural/Nonlinear Network (CNN) paradigm. This article presents the implementation of a novel CNN-based segmentation algorithm onto the Bi-i system. Each part of the algorithm, along with the corresponding implementation on the hardware platform, is carefully described through the article. The experimental results, carried out for Foreman and Car-phone video sequences, highlight the feasibility of the approach, which provides a frame rate of about 26 frames/s. Comparisons with existing CNN-based methods show that the conceived approach is more accurate, thus representing a good trade-off between real-time requirements and accuracy.
%K Cellular Neural/Nonlinear Networks
%K image segmentation
%K Bio-inspired hardware platform
%U http://asp.eurasipjournals.com/content/2011/1/69