在数字图像处理过程中经常会用到图像配准，在所有的图像配准方法中基于信息熵的配准方法得到了广泛应用，它充分利用了图像的灰度信息具有配准速度快、精度高且不需要预处理的特点。文章讨论了基于信息熵的配准方法并用实验图像进行了配准实验，得到了不同配准测度的配准曲线。%The image registration is often used in digital image processing. Of all the available methods , the image registration method with information entropy has been widely applied now. It has the advantages of speed registration, high accuracy and does not require pre-treatment by using the all image gray information. The information entropy-based registration method has been discussed in this paper and registration curves according to different measures have been obtained by means of image registration experiments.
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