文件名称：基于卷积神经网络的缺陷检测
文件大小：6.15MB
文件格式：PDF
更新时间：2022-05-27 10:36:07
检测
Surface defect detection plays a key role in controlling the quality during manufacturing process for strip steel. However, traditional defect detection of strip steel in industry is still performed manually, which can’t meet the requirement of real-time inline detection due to yield low efficiency and high missing rate. So far, computer vision based techniques for defect detection has attracted much attention of researchers, which has important theoretical and practical value.