95%。 For the existence of foreign fibre during cotton processing, machine vision technology and image processing were used in order to not only extract foreign fibre goals, but also collect characteristic data of foreign fibre. Decision tree theory and feature vectors extracted were used to recognize foreign fibre after eigenvectors of aimed foreign images were effectively extracted through an improved version of rough set theory. Experimental results showed that feature vectors extracted from the image of foreign fibre for the identification of cotton foreign fibre was effective and the recognition rate reached more than 95%.
参考文献
相似文献
引证文献
引用本文
刘双喜,张馨,郑文秀,王金星.棉花异性纤维图像特征提[J].农业机械学报,2010,41(3):158-162. Feature Extraction of Cotton Foreign Fibre[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(3):158-162.