Fabric Defect Detection Using Homogeneity

Abstract

Fabric defect detection algorithm based on local neighborhood is proposed to improve the accuracy and real-time of Fabric defect detection. A local neighborhood window moves over the entire inspection image. For homogeneity measurethe coefficient of variation is used. A defect-free region will generate a smaller value of Variation Coefficient than that of a defective region. To extract and segment the defective regions a simple threshold can be used and to increase the computational efficiency the integral image is introduced. The proposed algorithm is used for detecting only one single discrimination feature. It could avoid sample learning and complicated Spectral decomposition. Experimental results from fabric detection in the industry, has shown the feasibility and effectiveness.