基于图像处理的网格圈织物孔隙率检测

纺织学报 ›› 2014, Vol. 35 ›› Issue (5): 49-0.

基于图像处理的网格圈织物孔隙率检测

梁翠芳¹ 陈霞^1，2 傅婷¹ 卜佳仙¹ 万贤福¹ 汪军^1，2

1. 东华大学纺织学院
2. 东华大学纺织面料技术教育部重点实验室

收稿日期:2013-07-18 修回日期:2014-02-02 出版日期:2014-05-15 发布日期:2014-05-09
通讯作者: 陈霞 E-mail:chenxia@dhu.edu.cn

Inspection method of lattice apron porosity based on image processing

Received:2013-07-18 Revised:2014-02-02 Online:2014-05-15 Published:2014-05-09
Contact: XIA CHEN E-mail:chenxia@dhu.edu.cn

摘要/Abstract

摘要： 针对目前网格圈织物的孔隙测试相对困难的问题，本文采用图像处理方法对其孔隙及孔隙率的检测进行研究。首先对扫描所得的网格圈织物图像采用阈值分割方法将其转换成二值图像，对该二值图像可利用投影法判断经纬纱直径，计算得到理论孔隙率；然后对二值图像中纱线主体部分的干扰区域进行剔除，图像取反；最后通过面积滤波后提取孔隙数量、孔隙面积大小、孔隙分布以及计算实际孔隙率等指标，并且对面积过小的孔隙进行位置标定。实验结果表明，用图像处理方法对网格圈织物进行检测，能够客观反映网格圈织物的孔隙率和孔隙分布的均匀性，且实际孔隙率远低于理论孔隙率。

关键词: 图像处理, 网格圈织物, 孔隙率, 纱线直径, 孔隙分布

Abstract: The porosity of the lattice apron fabric was inspected by image processing method. The scanned image of lattice apron fabric was converted into a binary image by threshold segmentation. The diameter of warp and weft yarns was determined by the projection data of the binary image. The theoretical porosity was calculated according the diameter and density of yarns. The interferential white regions on image were removed by judging whether they were in the body of the yarns or not. Then the binary image was reversed and filtered to remove small white regions. Pore characters such as the number of pores, the area size of pores, the distribution of pores and actual porosity, were extracted and small pores were marked. The experimental result shows that the pore characters by image processing method can objectively reflect the porosity of the lattice apron and the uniformity distribution of the pores.

Key words: image processing, lattice apeon fabric, porosity, yarndiameter, pore size distribution

梁翠芳陈霞傅婷卜佳仙万贤福汪军. 基于图像处理的网格圈织物孔隙率检测[J]. 纺织学报, 2014, 35(5): 49-0.

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