Fabric Defect Detection Using Fourier Transform and Gabor Filters

Abstract

This paper introduces a new method used to solve the problem of texture defects detection and localization. The analysis focuses mainly on the detection of texture materials, which represents texture with a high degree of homogeneity, focusing on the textile’s periodicity properties. Although the field research has followed several directions, the developed application uses frequency domain analysis using Fourier transform and Gabor filters in the texture detection process. The processing system has the ultimate goal of detecting portions of the image in which different textures or non-textures are represented. It is considered to be non-texture, any defect in the material, which alters the periodic physical structure of the texture.