Design and Implementation of Real-time Fabric Defect Detection System

Abstract

Fabric defect detection is a key part to ensure quality of product in textile industry. The paper addressed on structure design and implementation of real-time fabric defect detection system based on Gabor filtering. The system mainly consists of three parts of image acquisition, defect detection and defect classification. Defect detection is core of whole system, the basic structure of which is PCIbased image data transmission as well as process system based on FPGA and external RAM. The Gabor filtering algorithm is used for defect detection, which is implemented with high performance FPGA assisted by external RAM to buffer image data. The CCD camera based rapid high-resolution image acquisition, high-speed PCI transmission as well as defect detection algorithm implemented with FPGA meet real-time needs of system. Practices show that the system can accurately detect more than 20 kinds of fabric defects in real time. When the resolution of input image is 2048×512 and fabric speed is 60 m/s, defect detection accuracy can be up to 0.5mm and accuracy about 90%.