Intelligent and objective measurement of wool fibre diameter

羊毛纤维直径的智能、客观测量。澳大利亚每年生产的50多万吨羊毛由人类羊毛分类员进行目测评估。这种纤维分类过程是主观的，严重依赖于学生的经验。在这个项目中，我们将通过提取人类羊毛分类人员使用的特征，并将图像处理和人工智能相结合，来客观地测量羊毛纤维直径。基于分形的纹理分析计算出的分维将与纤维直径相关联。这种方法将提供对农场和/或棚内羊毛纤维直径的客观测量的洞察。

Intelligent and objective measurement of wool fibre diameter. More than a half million tones of wool produced in Australia per year are visually evaluated by human woolclassers. This fibre-classing process is subjective and heavily dependent on the experience of the classers. In this project, we will objectively measure wool fibre diameter by extracting features used by human woolclassers and by combining image processing and artificial intelligence. The fractal dimension calculated by fractal based texture analysis will be correlated to fibre diameter. This approach will provide an insight into an on farm and/or in shed objective measurement of wool fibre diameter.