平针针织物密度的在线检测方法研究  

Testing method of the density of plain knitted fabric on-line

作　　者：张永超[1] 吴松林[1] 

机构地区：[1]西京学院机电工程系,陕西西安710123

出　　处：《毛纺科技》2013年第3期57-60,共4页Wool Textile Journal

基　　金：陕西省自然科学基础研究计划项目(项目编号:SJ08A26);陕西省教改重点项目机制专业创新人才培养的教学内容更新与课程体系改革研究(项目编号:1by99)

摘　　要：针对目前国内纺织行业采用人工方法对针织物坯布密度进行检测,其效率低,误差大,研究平针针织物的密度在线检测方法是十分必要的。文章利用机器视觉技术对纬编织物中的平针织物的密度测量进行了研究,在对平针织物进行横向、纵向密度测量的基础上,提出了一种快速的利用二值化后对像素点的统计求针孔数的方法计算纵、横密度的新算法。研究表明,该算法运算量小、实时性高,非常适合于平针针织物的密度在线检测实际应用,具有一定的实用性和推广价值。The knitted fabric density is detected aritificially in the current domestic textile industry. In this paper, the use of machine vision technology on weft knitted fabric of plain fabric density measuring is studied. Based on the flat knitted fabrics are transverse, longitudinal based on density measurement, this paper puts forward a fast new algorithm by using two values of the pixel statistics for pinhole number method for the calculation of longitudinal transverse density. The results of the research shows the algorithm high real-time performance is very suitable for plain knitted fabric~ density on-line detection of practical application. It has certain practicability and value of popularization.

关 键 词：针织物 密度 频谱 

分 类 号：TS187[轻工技术与工程—纺织材料与纺织品设计]