Abstract: The applications of Visual Inspection System is used in commercial and industry like a wide spectrum. There are many algorithms propounded for defect detection in textile fabrics. This research work is related with such an algorithm of identifying defects in textile fabric. In this study, researchers have used wavelets for eliminating the texture background of the images for isolating the defects. Later an algorithm is deployed based on pixel homogeneity and intensity variation to segment the defects. This is one of the algorithm which identifies the texture defects based on non texture techniques. The algorithm is suitable for high texture background images. The results of the algorithm is compared with Morphological Analysis Method and wavelet Reconstruction Method. The algorithm is capable of detecting any broken edges in the fabric pattern.
K.N. Sivabalan and D. Gnanadurai, 2013. Textile Fabric Defect Detection Based on Selective Wavelet Approximation. Asian Journal of Information Technology, 12: 266-272.