Steel sheet surface defect detection based on prewitt image processing operator
WANG Jiayao
LI Yugui
SONG Yaohui
LU Yibo
Abstract：During the rolling process of steel strips,factors such as production technology,processes,and environmental conditions can easily lead to surface defects,including cracks,impurities,spots,scratches,and the embedding of oxides.To improve the efficiency and accuracy of surface defect detection on steel strips,an improved Prewitt operator-based algorithm,addressing the issue of low edge precision in traditional Prewitt edge detection methods.The proposed algorithm first uses the USM algorithm to enhance image contrast,followed by bilateral filtering for noise reduction.Next,an improved four-direction Prewitt operator is applied to detect edge features,and thresholding is used to binarize the image.Finally,an edge refinement algorithm is employed to produce the final detection image.Experimental results demonstrate that this algorithm effectively extracts defect edge information.
Keywords：bilateral filtering denoisingUSM sharpeningprewitt operatoredge detectionsteel strip defects
Publication Date：2025-07-20
Online Publishing Date：2025-09-08(First online date of this platform, not the publication date of the document)
Pages：6( 1-6 )