Research on adaptive SIFT algorithm in image matching of pipeline inner surface visual measurement

Abstract

SIFT algorithm has many advantages such as high matching rate and good robustness. However, it still has same imperfect. Due to the large number of key points and large amount of computation, the processing speed is very slow. This article propose an improved SIFT matching algorithm with threshold and adaptive. In this algorithm, the threshold size is changeable. The number of feature points and the spatial domain are also controllable. The matching accuracy and speed can be improved by optimizing parameters. Then stereo image matching of inner surface of pipeline can be realized. Experimental results show that the matching rate and the matching speed are improved obviously. The algorithm can be applied to the matching of the inner surface corrosion images.