Aiming at the problems of the GMS algorithm of concentrated mismatching and poor robustness under few feature points,an improved algorithm based on the quality evaluation of feature matching is proposed.The algorithm does not depend on increasing the number of feature points.Instead,it calculates the homography matrix based on the high-quality matching pairs by introducing the quality factor of feature matching,and eliminates the mismatching to improve the matching accuracy.The experiment shows that:1) The algorithm not only solves the problem of mismatching concentration when there are few feature points in GMS algorithm,but also has less dependence on the number of feature points;2) The running time of the algorithm is shortened by 30% compared with that of ORB + RANSAC;and 3) The algorithm has higher robustness,higher accuracy and better real-time performance.