In this paper, we develop an automated optical inspection method to detect yarn packages' defect. Although textile industry is regarded as a traditional industry, many new technologies, e.g., computer vision detection algorithms, are applied to this industry in recent years. Yarn packages are the semi-finished good of textile industry. Various factors may cause abnormal-shaped packages. In this study, we develop three defect detection algorithms to extract abnormal-shape packages. These algorithms can help manufacturer to avoid the disadvantages of human inspection effectively and improve the productive quality.
|Journal||IS and T International Symposium on Electronic Imaging Science and Technology|
|State||Published - 13 Jan 2019|
|Event||2019 Intelligent Robotics and Industrial Applications Using Computer Vision Conference, IRIACV 2019 - Burlingame, United States|
Duration: 13 Jan 2019 → 17 Jan 2019