Fabric Defect Detection by using Neural Network technique

Abstract

This paper p r o p o s e s a m e t h o d f o r f a b r i c defect detection based on neural network. The global market for textile industry is highly competitive nowadays. Neural network is widely used to extract features from images for texture segmentation. The proposed scheme involves two challenging problem .i.e. defect detection and defect classification. Scene analysis and feature selection play an important role in classification process. The complexity of the subsequent steps increases and the classification task becomes hard by selecting an inappropriate feature set. So possibly an appropriate set of geometric features is taken into account in order to address the problem of neural network-based textile defect classification. Statistical approach is used to extract the features.