Distinguishing method of maturity degrees of tobaccos based on image analysis
A discrimination method and image analysis technology, applied in image analysis, analysis materials, image enhancement, etc., can solve the problems of tobacco leaf damage, high cost, complicated operation, etc., and achieve the effect of fast discrimination, high convenience and high efficiency.
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[0021] In order to make the content of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.
[0022] 1. Tobacco leaves of different maturity levels are artificially screened and classified ( figure 2 ). Maturity is divided into underripe, underripe, still ripe, mature, fully ripe and overripe, which are further divided into 10 levels.
[0023] 2. Extract the color characteristic value of tobacco leaves.
[0024] 3. By screening several characteristic parameters, the final screening maturity parameter is: MT=(B-R) / (B-G).
[0025] 4. The maturity values of the 10 levels are shown in Table 1. With the increase of the maturity level, the maturity shows an increasing trend. In the actual process of judging the maturity, it can be judged as follows: MT<0.2 is immature 1, 0.2
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