应用机器视觉的织物表面绒毛率测试系统  

Fabric surface fluff rate detecting system based on machine vision

作　　者：杨松林[1] 马帅[1] 丁朝鹏[1] 范红丽[1] 薛欢欢[1] YANG Songlin MA Shuai DING Zhaopeng FAN Hongli XUE Huanhuan(School of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, China)

机构地区：[1]河北科技大学机械工程学院,河北石家庄050018

出　　处：《纺织学报》2017年第6期118-123,共6页Journal of Textile Research

摘　　要：目前织物表面绒毛含量大都采用人工方式检测,存在效率低、准确度不高等问题。为此,应用机器视觉和图像处理技术,研制了一套织物表面绒毛率测试系统。介绍了织物表面绒毛率测试原理,包括织物表面绒毛率检测数学模型、检测算法和阈值的确定方法,并介绍了织物表面绒毛率测试系统的软硬件组成。采用该测试系统检测了5种织物的表面绒毛率,并与人工检测结果进行了对比分析。结果表明:该测试系统能够高效地测定织物表面绒毛率,且与人工检测结果呈现高度正相关;系统重复检测偏差范围为1.18%~7.25%,可满足织物表面绒毛率的检测需求。The fluff content on the surface of fabric is detected by manual method, which is low in efficiency and accuracy. For this reason, a set of detecting system of fabric surface fluff rate was developed based on machine vision and image processing technology. The detection principle of the fabric surface fluff rate was introduced including the mathematical model, the detection algorithm and the method for determining threshold value, and introduced hardware and software composition of the fabric surface fluff rate detecting system. The surface fluff rate of five kinds of fabrics was detected by the system, and the results were compared with the artificial test results. The results show that the detecting system can efficiently determine the fluff rate of the fabric surface and has a high positive correlation with the artificial test results. The system repeat detection error is between 1.18% and 7.25% , which can meet the fabric surface fluff rate detection needs.

关 键 词：织物表面绒毛率 机器视觉 图像分析 绒毛率测试系统 

分 类 号：TS103.7[轻工技术与工程—纺织工程]