利用图像处理和分析技术测定涤棉混纺比

Determination of Ployester/Cotton Blending Ratio by Image Processing and Analysis Technology

通过数学形态学操作对纱线截面图像进行预处理,在目标和背景之间形成了明显灰度差异。提出并使用光斑扩散方法得到了图像中各个纤维截面的轮廓线。在此基础上,构建了特征指标以区分涤纶和棉纤维,并对探测到的目标抽取特征数据。最后,对特征数据进行聚类和分类,从而计算出涤棉混纺比。

Yarn＇s cross-section image with notable grayness difference between targets and background is obtained by means of mathematical morphology operations. The Facula Diffusion method is advanced and applied to take out the contours of fiber cross-sections in the image. Based upon this, the feature index is composed to distinguish between ployester and cotton fibers, and the data of the feature index is extracted from the detected targets. Finally, the feature data undergoes clustering and classification, and the blending ratio of ployester/cotton yarn is figured out.