基于像素分析的针织面料卷边性评价研究

Evaluation Method of Knitted Fabrics Curling Behavior Based on Pixel Analysis

为了能够快速准确地量化评价纬编面料的卷边状况,设计一种数字图像处理方法,对面料卷边后和卷边前的水平数字投影进行像素分析,利用100%减去卷边后投影面积和卷边前投影面积的比值表征面料的卷边程度。具体步骤为:将要进行卷边评价的面料在恒温室条件下水平松弛4h,用取布器取圆形样品,利用扫描仪扫描得到数字化图片,利用Photoshop软件对图片进行像素统计,每个像素代表数字化图片中的一个单位面积,像素数目即代表了面积的大小。通过对8种样品相隔一周前后分别进行两次检测对比,结果表明,该方法可以将面料卷边准确量化,可重复性强,操作简便,可为研究卷边提供一定参考。

In order to quickly and accurately evaluate the curling condition of weft-knitted fabrics,a digital image processing method was designed.The horizontal digital projection of the fabric before and after curling was analyzed,and the degree of curling of the fabric by subtracting the ratio of after and before curling from 100%was characterized.Specifically,the fabric to be evaluated for curling was horizontally relaxed for 4 hours under constant temperature conditions,and a circular sample was taken with a fabric picker.The digital image was obtained by scanning with a scanner,and Photoshop software was used to perform pixel statistics on the image.Each pixel represented a unit area in the digital image,and the number of pixels represented the size of the area.Eight samples were tested twice one week before and after,the results shows that the method can accurately quantify the curling of the fabric,has high repeatability,is easy to operate,which can provide assistance for curling study.