计算机工程2025，Vol.51Issue(6)：286-296,11.DOI:10.19678/j.issn.1000-3428.0068831
基于动态联合加权的带钢表面缺陷分类方法
Classification Method for Surface Defects of Strip Steel Based on Dynamic Joint Weighting
摘要
Abstract
The surface quality of strip steel is an important indicator of the quality of steel products.Research on the classification of surface defects throughout the production process can reduce the occurrence of surface defects and improve the accuracy of capturing surface defect information.In the actual production process,obtaining accurate category labels for steel strip defect samples is often difficult.Therefore,unsupervised classification methods that do not rely on labeled data have gradually become a research hotspot.Existing traditional machine learning-based unsupervised classification methods are not robust against noisy data,whereas deep learning-based unsupervised methods depend on data volume.This study combines traditional machine learning and deep learning algorithms to propose an unsupervised Dynamic Weight Joint Classification(DWJC)method for surface defects in steel strips.First,the initial category labels of defect images are obtained using the texture feature clustering algorithm;then,the depth features of the image are extracted through a Convolutional Neural Network(CNN).This study also proposes a dynamic weighted re-labeling method based on KL divergence,which combines initial class labels,Softmax,and constraint clustering to continuously modify the initial class labels during model training,to obtain more stable and accurate defect classification results.In a large number of experiments on the NEU public and Baosteel defect datasets,DWJC achieves average accuracies of 99.5％and 94.3％,respectively.关键词
表面缺陷分类/无监督分类/纹理特征/聚类算法/动态权重Key words
surface defect classification/unsupervised classification/texture features/clustering algorithm/dynamic weight分类
信息技术与安全科学引用本文复制引用
王亚,甘青松,沈琦,宋余庆,刘毅,韩凯,刘哲..基于动态联合加权的带钢表面缺陷分类方法[J].计算机工程,2025,51(6):286-296,11.基金项目
国家自然科学基金(62276116,61976106) （62276116,61976106）
江苏省六大人才高峰项目(DZXX-122). （DZXX-122）
