Textile Fabric Defect Detection

Abstract: The main objective of our project is detecting the fault of fabric. In textile industry automatic fabric inspection is important to maintain the quality of fabric. In our project horizontal, Vertical and oil spot such defects are detected using neural network tool. These systems are introducing defect detection using histogram and Neural Network Tool for the inspection textured material. The system acquires fabric images by image acquisition device & converts that image into binary image by restoration and thresholding techniques. ARM 7 is used for processing all actions. This system is based on MATLAB 8.0.0.873.

Keywords: GSM, Histogram, Threshold, DWT.