According to the position similarity of corresponding points in multiimages of correlation based on computer vision

a corresponding pointmatching rule based on“the regulation of the minimum summation of euclid distance”is presented when studying the problem of corresponding pointsmatching from X2ray images. This rule is different from the conventional corresponding points matching methods based on gray level and based on regional geometric feature. It employs the model of sequence matching algorithm. According to the condition that the relative position of corresponding points in two images are almost unchanged in adjacent area

this rule minimizes the summation of corresponding points distance to match the corresponding points by adjusting the sequence of feature points array with evolutionary programming searching algorithm. By the experimenton PC

the result demonstrates that this algorithm canmatch the most of corresponding points correctly in a low time cost just based on the position similarity of corresponding points. The idea of this rule is summarized and its application is generalized in the end.