沈未名, 张祖勋, 张剑清. 基于神经网络的影像匹配概率松弛算法[J]. 武汉大学学报 ( 信息科学版), 1996, 21(3): 247-251.
引用本文: 沈未名, 张祖勋, 张剑清. 基于神经网络的影像匹配概率松弛算法[J]. 武汉大学学报 ( 信息科学版), 1996, 21(3): 247-251.
Shen Weiming, Zhang Zuxun, Zhang Jianqing. Image Matching by Neural Network Based Relaxation[J]. Geomatics and Information Science of Wuhan University, 1996, 21(3): 247-251.
Citation: Shen Weiming, Zhang Zuxun, Zhang Jianqing. Image Matching by Neural Network Based Relaxation[J]. Geomatics and Information Science of Wuhan University, 1996, 21(3): 247-251.

基于神经网络的影像匹配概率松弛算法

Image Matching by Neural Network Based Relaxation

  • 摘要: 提出了一种映射方法,使得Hopfield神经网络能够用于实现松弛算法。其优点在于Hopfield模型可由集成电路实现,因而使得基于松弛算法的影像匹配可以实时地完成,极大地提高了处理速度。

     

    Abstract: This paper proposes a mapping method that makes the Hopfield net perform the relaxation process.In such a way, image matching by relaxation process can be realized in real time since the Hopfield net can be implemented by conventional analog circuits.

     

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