Automated Density Measurement of Weft Knitted Fabrics Using Backlight Imaging  

作　　者：ZHANG Jing LIU Shuhua XIN Binjie YUAN Zhijie XU Yingqi 

机构地区：[1]School of Textiles and Fashion,Shanghai University of Engineering Science,Shanghai 201620,China [2]Office of Academic Research,Shanghai University of Engineering Science,Shanghai 201620,China

出　　处：《Wuhan University Journal of Natural Sciences》2023年第6期508-522,共15页武汉大学学报（自然科学英文版）

基　　金：Supported by the National Natural Science Foundation of China(61876106);Shanghai Local Capacity-Building Project(19030501200);ClassⅢPeak Discipline of Shanghai—Materials Science and Engineering(High-Energy Beam Intelligent Processing and Green Manufacturing)。

摘　　要：This paper proposes a new density measurement algorithm to address the issues of poor applicability and inaccurate results associated with the automatic density measurement algorithm for weft-knitted fabrics.The algorithm involves collecting the transmitted light image of the knitted fabric,calculating the tilt angle using the skewing correction algorithm,and rotating the image to correct the weft skew present therein.The pre-rotated and post-rotated images are then projected vertically and horizontally in grayscale,and the obtained projection curves are used to represent the distribution of loops in vertical and horizontal rows.This study proposed a wave peak coordinate verification algorithm that calculates the coursewise densities and walewise densities of the knitted fabric.In experiments,the proposed density measurement method is found to exhibit an accuracy above 98%when compared with the manual mode.

关 键 词：knitted fabric fabric density loop identification image analysis density measurement 

分 类 号：TS187[轻工技术与工程—纺织材料与纺织品设计] TP399[轻工技术与工程—纺织科学与工程]