Method of surface defect detection for agricultural machinery parts based on image recognition technology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08517-x.pdf
Reference15 articles.
1. Chen Y, Ding Y, Zhao F et al (2021) Surface defect detection methods for industrial products: a review. Appl Sci 11(16):7657
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3. Fu L, Tola E, Al-Mallahi A et al (2019) A novel image processing algorithm to separate linearly clustered kiwifruits. Biosys Eng 183:184–195
4. Han J, Ma Y, Zhou B et al (2014) A robust infrared small target detection algorithm based on human visual system. IEEE Geosci Remote Sens Lett 11(12):2168–2172
5. Isik L, Meyers EM, Leibo JZ, Poggio T (2014) The dynamics of invariant object recognition in the human visual system. J Neurophysiol 111(1):91–102
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