Abstract
In order to improve the accuracy of detecting internal defects of metal materials, a method of detecting internal defects of metal materials is designed based on computer vision. First, computer vision methods are used to collect internal images of metal materials, and then the images are processed and image features are extracted. Finally, accurate detection of internal defects of metal materials was carried out. The experimental results show that, compared with the traditional detection methods, the detection accuracy of the metal material internal defect detection method based on computer vision is high, and the detection time is short, which proves that it has high practical application significance.
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, L., Zhao, Y. (2021). Research on Detection Method of Internal Defects of Metal Materials Based on Computer Vision. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-030-82562-1_3
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DOI: https://doi.org/10.1007/978-3-030-82562-1_3
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