Bobbin Defects Analysis Based on Gradient and Shadow

• Main Authors: Liu, Chih-Hung, 劉致宏
• Other Authors: Chuang, Jen-Hui
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/d874rr

碩士 === 國立交通大學 === 多媒體工程研究所 === 107 === The textile industry is a traditional industry in Taiwan and has developed in recent years along directions of refinement and differentiation. With the rise of sports-related applications, the importance of functional textiles has also increased. Taiwan’s textile industry has been do-ing very well as it provides 70% functional textiles for world’s leading sports brands. Bobbin is the work-in-progress production of textiles, with most of its production process being au-tomated, except the inspection of bobbin defect. In order to reduce the labor cost and improve the quality of inspection, we hope to use automatic detection method to aid inspection so as to reduce the workload of inspection technician while improving their efficiency. In this study, we propose two methods to perform bobbin defect analysis based on shadow and gradient. We use binary images from different thresholds and HOG analysis, respectively, to find the abnormal area of the bobbin. Experimental results show that the proposed approach can in-deed provide a good reference for automated inspection, which includes proper procedures for image collection as well as parameter setting.