Optimal textural features for flaw detection in textile materials

This paper examines the problem of quality control and defect identification in woven textile fabrics by introducing an improved method for texture description. The approach is based on spatial gray level dependence methodology and addresses the issue of optimal parameter selection for deriving the maximum textural information. We introduce the use of the χ² significance test on elemental feature matrices in order to obtain higher per feature texture description and hence improve the capture of defects in the underlying textile pattern.