基于模糊择近原则的烟叶自动分级算法研究

Research on automatic classification algorithm of tobacco leaf based on fuzzy selection principle

烟叶自动分级需要考虑的因素是多方面的并且是模糊的,要准确界定某张烟叶属于哪个烟叶等级是一个难点。针对这一问题,提出在烟叶自动分级中运用模糊择近原则,利用模糊集合理论对烟叶特征集进行分析,最大限度的把烟叶归类于合适等级,提高烟叶分级的准确性,并通过实验验证这一方法的可行性。

The automatic grading factors of tobacco leaf are various and fuzzy,it is a difficult problem to accurately define one belongs to which level of tobacco leaf.Concerning this issue,it was proposed fuzzy selection principle in the automatic grading of tobacco leaf in the paper.Fuzzy set theory is used to analyze tobacco leaf feature set,as much as possible to determine the level of the tobacco leaf,which improve the accuracy of the tobacco leaf grading and verify the feasibility of this method by experiment.