Real-time fabric defect detection system using image processing (MATLAB).

Abstract

Quality inspection is an important aspect of modern industrial manufacturing. In textile industry production, automate fabric inspection is important for maintain the fabric quality. For a long time the fabric defects inspection process is still carded out with human visual inspection and thus insufficient and costly. Therefore, automatic fabric defect inspection is required to reduce the cost and time waste caused by defects. The development of an online inspection system requires robust and efficient fabric defect detection algorithms. The detection of local fabric defects is one 0 the most intriguing problems in computer vision. Texture analysis plays an Important role in the automated visual inspection of texture images to detect their defects. various approaches for fabric defect detection has been proposed in past and the purpose of this project is to categorize and describe these algorithms. This research project has shown that image analysis has great potential t0 provide reliable measurements for detecting defects in textile fabrics. Using the principles of image analysis, an automatic fabric evaluation system, which enables automatic computerized de c detection- (analysis of textile fabrics) was developed. On-line fabric defect detection was tested automatically by analysing fabric images captured by a digital camera. The results of the automatic fabric defect detection corresponds well with the experimental values. Therefore, it 1S shown that the developed image capturing and analysis system is capable of on-line detection of fabric defects and full control in the knitting and weaving machines (for example, by stopping the circular knitting machine as soon as a defect is acquired by the digital camera). Obviously, fabric inspection has an importance to prevent the risk of delivering inferior quality product. Until recently, the visual defect detection is still under taken offline and manually by humans with many drawbacks such as tiredness, boredom and, inattentiveness. Usual1y after the produced is doffed from the weaving machines, it is batched into large rolls and sent to the inspection department. A skilled stuff rolls the fabric at high speed on the inspection machine under sufficient light to identify all defects Besides the mentioned drawbacks the lag time exists between defect creation and detection causes ma e second choice fabric. Fortunately, the continuous development in computer technology introduces the online automat d fabric inspection as an effective alternative. A software package Matlab is used for this procedure using image processing algorithm.