抽象的

Automatic Defect Detection Algorithm for Woven Fabric using Artificial Neural Network Techniques

Dr. G. M. Nasira , P.Banumathi

Textile industry is one of the main sources of revenue-generated industry. The price of fabrics is severely affected by the defects of fabrics that represent a major threat to the textile industry. A very small percentage of defects are detected by the manual inspection even with highly trained inspectors which is time consuming and not accurate enough. An automatic defect detection system can increase the defect detection percentage; it reduces the fabrication cost and economically profitable when we consider the labour cost and associated benefits. In this paper we have proposed a method to detect the defects in woven fabric. The images are acquired, pre-processed and normalized then a structural feature is extracted. The Artificial Neural Network is used as defect identification model. The extracted features are given as input to the artificial neural network, it identifies the defect. The proposed method compare with relevant recently reported works and shows a better performance which is to be very promising.