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中文摘要：
提出了一种基于小波网络的图像配准方法。将特征点定义进行了推广，提出了一种以特征区域定义和提取方法。使用Zernike矩表征区域的特征并进行特征区域的对应。因图像配准变换是复杂且难以预知的，利用小波神经网络具有良好的函数逼近性能，提出了具有局域特性的小波神经网络模型逼近图像的配准变换。实验表明这是一种有效的图像配准方法。
英文摘要：
A method for image registration based on wavelet neural network is proposed. The definition of feature points is extended, and a method of definition and extraction of feature region is put forward. The regional characteristic is charactered and corresponded with Zernike moments. For image registration transformation is complex and unpredictable, wavelet neural network has a good approximation performance in the local domain, so it is applied to simulating image registration transform. The experiments show that it is an effective method for image registration.
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