Method of Mesh Fabric Defect Inspection Based on Machine Vision

Abstract

An appearance defect online inspection system of mesh fabric has been developed based on machine vision. The mean filter method is adopted to eliminate noise. An adaptive threshold method based on brightness is presented to eliminate the effects of uneven illumination and separate the foreground and background. By analyzing the texture characteristics and defect features of mesh fabric, the mesh fabric defect identification method based on texture features is proposed. The results have shown when the online inspection speed reaches 60m/min, the defect recognition rate can reach 95% or more and the online inspection system can meet the automation requirements of enterprises quite well.