针织物密度在线检测算法研究  

Research of Knitted Fabric Density Detection Algorithm

作　　者：雷同飞[1] 张建祥[1] 

机构地区：[1]西京学院,西安710123

出　　处：《科学技术与工程》2013年第11期3137-3140,共4页Science Technology and Engineering

基　　金：陕西省自然科学基础研究计划项目(SJ08A26)资助

摘　　要：针织物的密度、线圈长度、面积孔隙率、未充满系数等组织结构参数的检测是针织物的一个重要指标。但是,目前针织物的密度参数通常是以人工手拉目测为主,严重降低了生产效率和产品质量。针对实际需求,研究开发了针织物密度算法。首先对针织物图像进行中值滤波和直方图均衡化,再根据提出的密度算法进行计算。实际研究表明,该算法运算量小、实时性高,非常适合于在针织物的图像检测领域大量推广,具有广阔的发展及应用空间。Knitted fabric density, coil length, area, porosity is not full coefficient and structure parametel, s of detection is a knitted fabric is an important indicator. However, the knitted fabric＇s density parameters are usually with artificial hand visual, serious lag the production efficiency and reduce the product quality. In view of the actu- al demand, research and development of the knitted fabric density algorithm, first on the fabric image median filte- ring and histogram equalization, and then according to the proposed algorithm are calculated the density of. Ac- cording to the results of the research, this algorithm, high real-time performance, has great universality, very suit- able for knitted fabric image detection field widely, with wide development and application of space.

关 键 词：密度 针织物 中值滤波 

分 类 号：TS184.13[轻工技术与工程—纺织材料与纺织品设计]