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    模糊细胞神经网络在书法碑帖汉字重构中的应用

    APPLICATION OF FUZZY CELLULAR NEURAL NETWORKS TO STONE INSCRIPTIONS RECONSTRUCTION IN CHINESE CALLIGRAPHY

    • 摘要: 模糊细胞神经网络作为一种模拟逻辑可编程并行网络,可以用来实时实现数学形态学的全部基本算子.文中基于加性模糊细胞神经网络结构,应用数学形态学的重构算法,研究中国书法碑帖在自然腐蚀噪声环境下的去噪和汉字提取问题,并给出了算法的伪代码描述和数字计算机仿真结果.该方法可应用于书法碑帖的汉字处理和实时重构.

       

      Abstract: Using the fuzzy cellular neural networks (FCNN), the paper studies the noise suppression and character extraction in Chinese calligraphy stone inscriptions polluted by natural erosive noise. The real time stone inscription reconstruction is realized and the simulation results are given.

       

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