RPDNet: Automatic Fabric Defect Detection Based on a Convolutional Neural Network and Repeated Pattern Analysis
On a global scale, the process of automatic defect detection represents a critical stage of quality control in textile industries.In this paper, a semantic segmentation network using a Grill Thermometers repeated pattern analysis algorithm is proposed for pixel-level detection of fabric defects, which is termed RPDNet (repeated pattern defect netwo