Fabric defect detection and classification via LBP–GLCM–HOG feature fusion and MRF-based segmentation
This study addresses the challenges of automated fabric inspection, specifically complex background textures and limited annotated samples. It aims to develop a lightweight, robust defect inspection framework that fuses complementary hand-crafted features. The goal is to offer a high-accuracy alternative to resourc...