Boundary Identification
Automated vision systems in fabric inspection frames locate structural boundaries and surface defects by evaluating local intensity gradients in digital image arrays. High-resolution line-scan cameras employ optical edge detection to continuous gray-scale woven linen webs passing over inspection tables. Irregularities in flax yarn diameter and natural slub textures create high-frequency visual noise that edge-finding software filters out to isolate actual selvedge lines or open weave defects.
Optical edge detection establishes fabric width consistency and selvedge alignment without physical mechanical contact. Application boundaries stop at heavily brushed or dense velour finishes where surface pile obscures underlying yarn structures.
Algorithm Execution
Illumination banks project back-light or low-angle front-light across the moving linen sheet. Digital cameras record brightness transitions where dense yarn boundaries meet open spaces or selvedge trims. Matrix operators calculate spatial intensity derivatives to mark sharp pixel transitions as structural edges.
Inspection Threshold
System controllers compare detected edge positions against target fabric width specifications stored in production management software. When optical edge detection reveals width variations exceeding five millimeters, automated guide rolls adjust web tension dynamically. Inspection reports log edge deviation counts alongside fabric roll meter marks for mill quality grading certificates.
Final grading documentation attaches these edge consistency logs to verify export roll conformity.
