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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 9/2021

06.06.2021 | Research Article-Computer Engineering and Computer Science

Research on Workpiece Image Mosaic Technology of Groove Cutting Robot

verfasst von: Hui-Hui Chu, Bin Xue, Ning Li

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 9/2021

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Abstract

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.
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Metadaten
Titel
Research on Workpiece Image Mosaic Technology of Groove Cutting Robot
verfasst von
Hui-Hui Chu
Bin Xue
Ning Li
Publikationsdatum
06.06.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 9/2021
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-05734-0

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