基于图像处理的梭织物密度分析检测  

Detection of Woven Fabric Density Based on Image Processing

作　　者：潘全 殷正雄 金凡 何瑜[3] PAN Quan;YIN Zhengxiong;JIN Fan;HE Yu(Hubei Province Fibre Inspection Bureau,Wuhan 430061,China;Wuhan Miaowei Technology Co.,Ltd.,Wuhan 430074,China;College of Chemistry and Chemical Engineering,Hubei University,Wuhan 430062,China)

机构地区：[1]湖北省纤维检验局,湖北武汉430061 [2]武汉妙微科技有限公司,湖北武汉430074 [3]湖北大学化学与化工学院,湖北武汉430062

出　　处：《纺织科技进展》2022年第3期33-36,共4页Progress in Textile Science & Technology

基　　金：国家市场监督管理总局科技计划项目(2020MK063)。

摘　　要：针对梭织物密度检测中存在的问题,提出一种基于图像处理的梭织物密度智能分析系统。该系统通过取像装置采集样品高清实时图像,对图像进行自动标定、分割及矫正,计算并输出织物样品的经纬向根数测定结果。与人工测量相比,智能分析系统的检测结果相对偏差小于5%,表明该方法适用于梭织物密度的自动分析检测。Aiming at the problems existing in fabric density detection, an intelligent fabric density analysis system based on image processing was proposed. The system collected the high-definition real-time image of the samples through the image pickup device, and then automatically calibrated, segmented and corrected the image, finally calculated and outputted the measurement results of the number of warp and weft elements of the fabric samples. Compared with manual measurement, the relative deviation of the detection results of the intelligent fabric density analysis system was less than 5%. The results showed that the method was suitable for automatic detection of fabric density.

关 键 词：图像处理 机织物 织物密度 分析检测 

分 类 号：TS101.9[轻工技术与工程—纺织工程]