Automated Visual Defect Detection for Flat Steel Surface: A Survey

Automated computer-vision-based defect detection has received much attention with the increasing surface quality assurance demands for the industrial manufacturing of flat steels. This article attempts to present a comprehensive survey on surface defect detection technologies by reviewing about 120 publications over the last two decades for three typical flat steel products of con-casting slabs and hot- and cold-rolled steel strips. According to the nature of algorithms as well as image features, the existing methodologies are categorized into four groups: statistical, spectral, model-based, and machine learning. These works are summarized in this review to enable easy referral to suitable methods for diverse…

• NN
  National Natural Science Foundation of China

  Awards: 51704089, 61973323
• NS
  Natural Science Foundation of Anhui Province

  Award: 1808085QF190