用Hopfield网络实现边缘模糊图象的二值化处理
BINARIZATION PROCESSING FOR BLURRING EDGE IMAGE WITH HOPFIELD NETWORK
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摘要: 本文基于Hopfield网络提出了一个实现边缘模糊图象二值化处理的新方法.首先将图象二值化处理问题转化成优化问题,然后构造相应的Hopfield网络参数并用Hopfield网络实现这个优化问题的解.实验说明,该方法具有较高的精度,同时对较小图象,甚至一维信号亦具有好的效果.Abstract: 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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