An improved detection method of metal product surface damage based on super-resolution reconstruction

Yang Liu; Song Gao; Tengsen Wang; Huihui Wang; Qingjia Lv; Peng Wang; Caihong Wang

doi:10.1117/12.2611319

14 October 2021 An improved detection method of metal product surface damage based on super-resolution reconstruction

Yang Liu, Song Gao, Tengsen Wang, Huihui Wang, Qingjia Lv, Peng Wang, Caihong Wang

Proceedings Volume 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation; 119301P (2021) https://doi.org/10.1117/12.2611319
Event: International Conference on Mechanical Engineering, Measurement Control, and Instrumentation (MEMCI 2021), 2021, Guangzhou, China

Abstract

In order to solve the problem of slow detection efficiency and low accuracy in continuous detection of metal prints. A detection method for printing defects and surface damage of metal prints based on super-resolution reconstruction is proposed. The core content of this method is the use of image quadratic linear interpolation. First, according to the spectral reflectance characteristics of different surfaces of metal prints, a method of imaging features that can clearly reflect the image is proposed. In this paper, an image super-resolution registration method based on quadratic linear interpolation is proposed, and finally a method based on image threshold segmentation to reduce noise interference is proposed, which effectively improves the detection accuracy. Experiments show that the error of the detection method for printing defects and surface damage of metal prints based on super-resolution reconstruction is less than 0.03mm. Field experiment results show that this method is an effective non-destructive testing method for metal printing.

Citation Download Citation

Yang Liu, Song Gao, Tengsen Wang, Huihui Wang, Qingjia Lv, Peng Wang, and Caihong Wang "An improved detection method of metal product surface damage based on super-resolution reconstruction", Proc. SPIE 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation, 119301P (14 October 2021); https://doi.org/10.1117/12.2611319

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KEYWORDS

Metals

Image registration

Super resolution

Printing

Light sources

Damage detection

Image restoration

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