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Volume 25 Issue 11
Nov.  2003
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Wang Haiming, Guo Shide, Yu Daoheng. A new kind of shadow detector based on cnn-ubn[J]. Journal of Electronics & Information Technology, 2003, 25(11): 1499-1504.
Citation: Wang Haiming, Guo Shide, Yu Daoheng. A new kind of shadow detector based on cnn-ubn[J]. Journal of Electronics & Information Technology, 2003, 25(11): 1499-1504.

A new kind of shadow detector based on cnn-ubn

  • Received Date: 2002-06-24
  • Rev Recd Date: 2002-11-14
  • Publish Date: 2003-11-19
  • In this paper, a new kind of two-dimensional Cellular Automata (CA) is studied. Several algorithmic rules are discovered that can be used to design new Cellular Neural Networks (CNN) which can implement shadow detector and overstriking for character recognition. Their Boolean expressions and learning algorithms are introduced detailedly. The results of computer simulation confirm that this new approach is simpler and more effective than that given in the literature. Furthermore, these results also confirm that new CNN can be designed with CA rules and find a novel method to design CNN.
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  • L.O. Chua, L. Yang, Cellular Neural Networks: Theory, IEEE Trans. on CAS, 1988, 35(10),1257-1272.[2]L.O. Chua, L. Yang, Cellular Neural Networks: Applications, IEEE Trans. on CAS, 1988, 35(10),1273-1290.[3]T. Kozek, T. Roska, A double time-scale CNN for solving two-dimensional Navier-Stokes equations, International Journal of Circuit Theory and Applications, 1996, 24(1), 49-55.[4]P.L. Venetianer, F. Werblin, T. Roska, Analogic CNN algorithms for some image compression and restoration tasks. IEEE Trans. on CAS-I, 1995, 42(5), 278-284.[5]C. Rekeczky, CNN architectures for constrained diffusion based locally adaptive image processing,International Journal of Circuit Theory and Applications 2002, 30(2/3): 287-312.[6]Jianye Zhao, Daoheng Yu, A new approach for ME multilevel image restoration based on CNN,International Journal of Circuit Theory and Applications, 1999, 27(3), 339-346.[7]Jianye Zhao, Haiming Wang, Daoheng Yu, A new approach for edge detection of noisy image based on CNN, International Journal of Circuit Theory and Applications, 2003, 31(2), 119-131.[8]S. Wolfman, Theory and Applications of Cellular Automata. Singapore, World Scientific Publishing, 1986 (Including all selected papers 1983-1986).[9]H. Masahiko, T. Aoki, H. Morimitsu, T. Higuchi, Implementation of reaction-diffusion cellular automata, IEEE Trans. on Circuits and Systems I: Fundamental Theory and Applications, 2002,49(1), 10-16.[10]P. Dasgupta, S. Chattopadhyay, P.P. Chaudhuri, I. Sengupta, Cellular automata-based recursive pseudoexhaustive test pattern generator. IEEE Trans. on Computers, 2001, 50(2), 177-185.[11]L.O. Chua, B.Shi, Exploiting Cellular Automata in the Design of Cellular Neural Networks for Binary Image Processing, ERL memo UCB/ERL M89/130, University of California, Berkeley,Nov. 15 , 1989.[12]T. Matsumoto, L. O. Chua, H. Suzuki, CNN cloning template: shadow detector, IEEE Trans. on CAS, 1990, 37(8), 1070-1073.[13]N.N. Aizenberg, I. N. Aizenberg, CNN-like networks based on multi-valued and universal binary neurons: learning and application to image processing, Cellular Neural Networks and their Applications, 1994. CNNA-94. Proceedings of the Third IEEE International Workshop on, Rome,Italy, 1994, 153-158.
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