用Hopfield網絡實現(xiàn)邊緣模糊圖象的二值化處理
BINARIZATION PROCESSING FOR BLURRING EDGE IMAGE WITH HOPFIELD NETWORK
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摘要: 本文基于Hopfield網絡提出了一個實現(xiàn)邊緣模糊圖象二值化處理的新方法.首先將圖象二值化處理問題轉化成優(yōu)化問題,然后構造相應的Hopfield網絡參數(shù)并用Hopfield網絡實現(xiàn)這個優(yōu)化問題的解.實驗說明,該方法具有較高的精度,同時對較小圖象,甚至一維信號亦具有好的效果.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]王積分.張新榮.計算機圖象識別.北京:中國鐵道出版社,1988年,第6章. -
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