基于谱线特征的羊绒与羊毛的鉴别

为快速区分和检验羊毛、羊绒，提出基于羊毛与羊绒谱线特征的识别方法。这种方法先通过光学显微镜获得羊毛与羊绒的图像，然后经过图像处理得到羊毛与羊绒的表面信息。接着通过投影的方式，获得羊毛与羊绒表面所对应的谱线。对获得的谱线进行分割，根据羊毛及羊绒谱线的特性不同，提取羊毛及羊绒谱线的单元宽度值、单元峰值及离散系数、峰值宽度比等参数；最后通过对这些参数的分析处理进行识别。实验结果表明，采用这种方法识别羊毛及羊绒，不仅快速准确，而且与以往的方法相比，在精度和速度上都有显著的提高。

Identification of wool and cashmere based on characteristics of spectral line

For rapid identification and inspection of wool and cashmere,this paper suggests an identification method based on the characteristics of spectral line.Firstly,the images of wool and cashmere are taken using optical microscope.Secondly,the surface information of the wool and cashmere is obtained from the images by image processing.Thirdly,the spectral lines of the wool and cashmere are extracted by a local projection method with feature segmentation.The features of each spectral line such as unit width,unit peak value and coefficient of discretion,and peak width are extracted according to the different characteristics of the surface.We finally differentiate wool and cashmere based on the analysis of the features of these spectral lines.Experimental results demonstrate that this method works quickly and effectively which has remarkable advantages in comparison with the previous methods.