Research on Workpiece Image Mosaic Technology of Groove Cutting Robot

Aiming at the requirement of obtaining the panorama of the worktable in the automatic cutting system of workpiece groove based on machine vision, an image registration algorithm based on SIFT and improved PROSAC is proposed. First, SIFT algorithm is used for feature detection and feature description. Then, the bidirectional matching and cosine similarity method are used for rough matching of feature points. Finally, an improved PROSAC algorithm is proposed, which purifies the matching points and calculates the image transformation matrix. In image fusion, the weighted average method is used to fuse the overlapping parts of the image to obtain a whole image of the cutting platform. Experimental results show that the algorithm in this paper has been improved in terms of matching accuracy and time-consuming compared with several classical algorithms.

Automated summary

This study proposed an image registration algorithm based on SIFT and improved PROSAC for obtaining the panorama of the worktable in an automatic cutting system. Experimental results show that the algorithm has improved in terms of matching accuracy and time-consuming compared with several classical algorithms.