Intelligent and objective measurement of wool fibre diameter

智能、客观地测量羊毛纤维直径。澳大利亚每年生产的50多万吨羊毛都要经过人类羊毛分级师的视觉评估。这种纤维分类过程是主观的，很大程度上取决于分类者的经验。在这个项目中，我们将通过提取人类羊毛分类者使用的特征，并将图像处理和人工智能相结合，客观地测量羊毛纤维直径。基于分形的织构分析计算出的分形维数将与纤维直径相关联。这种方法将为农场和/或棚内羊毛纤维直径的客观测量提供见解。

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.