Based on the improved corner detection algorithm, an image automatic registration method combined corner detection and area-based matching was developed.
在上述改进的角点检测算法基础上，本文提出了结合区域匹配的图像自动配准算法。
An algorithm based on area search matching was proposed. The algorithm used color information of measure points to find image grids and to measure the displacement in similar material experiment.
本文提出一种基于区域搜索匹配算法，利用测点的颜色信息寻找网格点，进行相似材料位移的非接触测量。
Matching is performed directly with the image intensity in the area-based correlation without counting the space and structure correlation between objects.
灰度相关直接用图像灰度进行匹配，没有考虑场景物体之间的空间和结构相关性，使得结果对结构、光照、纹理和畸变十分敏感。
In order to realize fast automatic registration among multimodal images, an image registration method using both corners and area-based matching is presented in thesis.
为了实现多模态图像间的快速自动配准，本文提出了基于角点检测结合区域匹配的图像自动配准算法。
In order to realize fast automatic registration among multimodal images, an image registration method using both corners and area-based matching is presented in thesis.
为了实现多模态图像间的快速自动配准，本文提出了基于角点检测结合区域匹配的图像自动配准算法。
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