Regional gradient projection-based defect screening algorithm for steel plate surface

Kailing Wu; Wenjian Chen; Wusen Li

doi:10.1117/12.2631176

18 March 2022 Regional gradient projection-based defect screening algorithm for steel plate surface

Kailing Wu, Wenjian Chen, Wusen Li

Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 121682H (2022) https://doi.org/10.1117/12.2631176
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China

Abstract

Screening the surface defect image of steel plate is a crucial link in the steel inspection system. In order to improve the detection efficiency, a defect image screening algorithm based on regional gradient projection is proposed. After the gradient map of the original image is obtained by an operator, it is divided into several equal-size regions which are projected horizontally and vertically, that can calculate the normalized standard deviation of each area in both directions, and then arrange in descending order among which the top 45% standard deviation is selected to the mean value to compare with the threshold to complete the defect image screening. The experimental results demonstrate that compared with the traditional gradient method, the accuracy of this method is improved by 8.95%, the missed detection rate is reduced by 5.33%, and the false detection rate is reduced by 3.62%. Therefore, the algorithm is simple, efficient and robust, which can meet the requirements of enterprise defect image screening

Citation Download Citation

Kailing Wu, Wenjian Chen, and Wusen Li "Regional gradient projection-based defect screening algorithm for steel plate surface", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 121682H (18 March 2022); https://doi.org/10.1117/12.2631176

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