The textile industry is one of the most important industries in Sri Lanka. In most of the textile garment factories the defects of the fabrics are detected manually. The manual textile quality control usually depends on eye inspection. Famously, human visual assessment is drawn-out, tiring, and an exhausting errand, including perception, consideration and experience to recognize the fault occurrence. The precision of human visual assessment declines with dull positions and vast schedules. Some of the time slow, costly, and sporadic review is the outcome. In this manner, the programmed automatic visual review safeguards both the fabric quality inspector and the quality. This examination has exhibited that Textile Defect Recognition System is fit for distinguishing fabrics' imperfections with endorsed exactness with viability. With some products 100% inspection is important to ensure the stipulated quality or standard. The classifications for the automated fabric inspection approaches are expanding as the work is vast and complex. According to the algorithm used, the texture analysis problem is classified into different approaches. They are Structural, spectral, model-based methods, Unfortunately, the optimal plan does not yet exist for these vast numbers of applied methods, as each of them has some advantages and disadvantages.