分析了传统的基于灰度和基于特征的匹配算法，提出了一种基于边缘特征和相关系数的新匹配算法。
A hybridized matching algorithm is proposed based on edge feature and correlation coefficient method after analyzing traditional grey-based algorithms and feature-based algorithms.
针对图像匹配受几何变形的影响，提出了一种基于相邻像素间的灰度差异来提取图像多像素边缘的方法。
To reduce the influence of geometrical deformation on image matching, we put forward a method which can detect multi-pixels edge of image.
该方法采用事先通过标定的图像，对自然标志(特征点)的提取和基于灰度向量匹配来完成绝对位移的测量。
By using calibrated image, it can measure plane absolute displacement of worktable automatically via feature point extraction and gray vector matching.
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