Bearing surface defect detection based on context-aware saliency

Yeshen Lan; Chuchu Rao

doi:10.1117/12.3026555

27 March 2024 Bearing surface defect detection based on context-aware saliency

Yeshen Lan, Chuchu Rao

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131051S (2024) https://doi.org/10.1117/12.3026555
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

Aimed at the problem of bearing surface defect detection, a method based on context-aware saliency detection is proposed. Firstly, the image of bearing surface defects was preprocessed, and homomorphic filtering method was used to weaken the influence of uneven illumination and environment. Then, the saliency of the defect area was enhanced by the context-aware visual saliency detection method, and a saliency map highlighting the defect area was generated. Finally, Otsu method was used to segment the defect of saliency map, and the defect detection results were obtained. The results showed that the context-aware saliency detection method can accurately detect all kinds of defects on the bearing surface, and has better precision and recall than other significant detection methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yeshen Lan and Chuchu Rao "Bearing surface defect detection based on context-aware saliency", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131051S (27 March 2024); https://doi.org/10.1117/12.3026555

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