纱线条干均匀性序列图像测量方法

为了更精确、连续地评价纱线的外观条干均匀性，提出一种基于序列图像的纱线条干均匀性测量方法。通过图像采集系统获取连续的纱线序列图像；根据模糊C-均值（FCM）聚类算法将图像进行阈值分割，得到纱线条干的二值图像；设定阈值去除图像中的孤立点、毛刺点，获得清晰的纱线条干图像，并计算图像中每行纱线直径。 为验证方法的准确性，对７ 种线密度的紧密纺纯棉纱进行了条干测试，并将结果与USTER® Tester 5-S800 条干测试仪的测试结果进行了对比。结果表明：序列图像方法测得的纱线条干均匀性与USTER 条干仪的测试结果高度正相关，证明本文的方法是准确可行的。

Measurement of yarn evenness using sequence images

In order to evaluate the yarn apparent evenness more precisely and continuously, a method based on sequence images of yarn was developed and applied to measure the yarn evenness. At first, an image acquisition system was adopted to acquire the sequence images of yarn. Then, the images were segmented to binary images based on FCM ( Fuzzy C-mean ) clustering. Finally, a threshold value was set to remove the isolate points and burr points in the binary image and acquireyarn core image. The number of pixels of each row was accumulated in the yarn core image to calculate the yarn diameter value. To verify the accuracy of the proposed method, seven kindsof compact-spinning pure cotton yarns with different counts were measured and the results compared with those by USTER® Tester 5-S800. It shows that the results of yarn evenness measured by sequence images are highly correlated with those bythe USTER tester,proving the proposed method is accurate and feasible.