本论文中：研究了基于位操作运算的快速二值化的高动态图像配准算法(MTB算法)。
In this thesis, we: Study a high-dynamic image registration algorithm (MTB algorithm) based on the rapid bit operation of computing binarization image.
相邻帧配准差分去除恒星方法，在处理16位灰度图像时，由于高亮度恒星的插值误差大于目标灰度与背景之差，导致差分不能有效去除恒星干扰。
Registration and difference can't exclude stars when processing the 16-bit gray images because interpolation error of high light star is larger than the difference of target and background.
相邻帧配准差分去除恒星方法，在处理16位灰度图像时，由于高亮度恒星的插值误差大于目标灰度与背景之差，导致差分不能有效去除恒星干扰。
Registration and difference can't exclude stars when processing the 16-bit gray images because interpolation error of high light star is larger than the difference of target and background.
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