A comparison between image-processing approaches to textile inspection

Visual inspection is an important part of quality control in the textile in dustry. In order to increase accuracy, attempts are being made to replace m anual inspection by automated visual inspections employing a camera and ima ging routines. process-accompanying image acquisition and automatic evaluat ion could form the basis for a system that ensures a very high degree of fa bric quality control. However, a successful outcome for the implementation depends, to a Large extent, on the specific approach chosen. This work comp ares the results of three image-processing approaches to manufacturing insp ection and shows the relationship between the efficiency of each approach a nd the type of fabric fault.