Defect Analysis of Textiles Using Artificial Neural Network

Textile defect detection by application of supervised neural network trained on back error propagation algorithm is presented in this paper. The detection process consists of two parts. First is the conversion of coloured image into RGB components and extraction of features from each colour components. In the second part feed forward, artificial neural network was trained and tested on features obtained above. The trained neural classifier was tested on test dataset. The value of 80% classification accuracy was obtained on test dataset.