Research On Arithmetic Of Structure Analysis Of Tobacco Leaf Based On Linearity Classifying

Tobacco classifying, which has great impact on tobacco planting and tobacco making, is an important step in tobacco product line. Owing to reducing man's joining, automatic classifying of grading, increasing the speed and accuracy of the tobacco grading classifying, will improve the development of tobacco industry. There are many standards in tobacco grade classifying,and tobacco leaf structure is a important standard. In this paper some arithmetics are presented to classify tobacco based on the standard of tobacco leaf structure. The research contents of this paper are as follows:Firstly, current standards of tobacco grade and state of research and means of tobacco leaf structure analysis are put forward. Then, we think it is very important to research on arithmetic of structure analysis of tobacco leaf.Secondly, the arithmetics of tobacco classifying, which are based on tobacco leaf structure, is expatiated. In this paper tree grades tobacco leaves maps which are collected from tobacco product line by CCD are used as training swatches, each grade having fifteen tobacco maps. The main arithmetics include tobacco map pretreatment, tobacco map segmentation, getting the number of tobacco leaves and area of every tobacco leaf, feature choosing, swatches training and designing classifier.Lastly, in this paper, tobacco leaves which are marked but not used as swatches are used to test our arithmatic. The experimental results show that our method for classifying tobacco has been successful achieving an accuracy of 95%.