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Volume 20 Issue 1
Jan.  1998
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Zhang Ke, Liu Guizhong. BINARIZATION PROCESSING FOR BLURRING EDGE IMAGE WITH HOPFIELD NETWORK[J]. Journal of Electronics & Information Technology, 1998, 20(1): 38-43.
Citation: Zhang Ke, Liu Guizhong. BINARIZATION PROCESSING FOR BLURRING EDGE IMAGE WITH HOPFIELD NETWORK[J]. Journal of Electronics & Information Technology, 1998, 20(1): 38-43.

BINARIZATION PROCESSING FOR BLURRING EDGE IMAGE WITH HOPFIELD NETWORK

  • Received Date: 1996-05-28
  • Rev Recd Date: 1997-04-14
  • Publish Date: 1998-01-19
  • Based on the Hopfield network a new method of binarization processing for blurring edge image is proposed. First, the binarization processing problem is turned into the optimization problem, then correspondent Hopfield network model and its parameters are designed. Experiments show that this method is of advantage for binarization processing the blurring edge image.
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  • Lehar A F, Stevens R J. Image processing system for enhancement and deblurring of photographs. Optical Engineering, 1984, 23(3): 303-308.[2]Kittler J, Illingworth J, Fogleig J. An automatic thresholding algorithm and its performance, In Proc 7th Int. Conf. on Pattern Recognition, Montreal: 1984, 287-289.[3]Hopfield J J, Tank D W. Neural computation of decisions optimization problems. Biological Cybern., 1985. 52: 141-152.[4]Hopfield J J. Neural network and physical systems with emergent collective computational abilities Proceedings of the National Academy of Science, 1982, 79: 2554-2558.[5]王积分.张新荣.计算机图象识别.北京:中国铁道出版社,1988年,第6章.
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