Industrial equipment defect detection based on multi-scale Retinex algorithm

Wenli Shao; Hai Tian; Xinzhuo Chen

doi:10.1117/12.3004106

11 October 2023 Industrial equipment defect detection based on multi-scale Retinex algorithm

Wenli Shao, Hai Tian, Xinzhuo Chen

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 1280004 (2023) https://doi.org/10.1117/12.3004106
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

Since wind turbine blades are exposed to harsh environment for a long time, they are very easy to produce defects and can cause serious economic losses, so this paper proposes a wind turbine blade defect detection method. Firstly, the background separation is performed on the acquired image, and the multi-scale Retinex algorithm is used to enhance the image. Then, findcontour and contourarea operators are used to extract the contour of the blade defect area. The experimental results are good and can meet the practical application requirements of burner blade defect detection.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wenli Shao, Hai Tian, and Xinzhuo Chen "Industrial equipment defect detection based on multi-scale Retinex algorithm", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 1280004 (11 October 2023); https://doi.org/10.1117/12.3004106

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